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Paper Citation Record · LEDGER

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization

As of 5 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2604.26820.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.26820 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T13:37:54.208900Z

measured 82 of 82 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

82 of 82 outbound references displayed

  • verified exact10
  • verified fuzzy71
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c3336ed-f972-4bb6-af6c-8bfd78781e6e · outbound

This paper cites Generalizing to unseen domains via distribution matching.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Generalizing to unseen domains via distribution matching

Reference 1

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verified exact
arxiv_id, observed 2026-05-12T08:51:24.751578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 87b2bd58-b8f9-4438-b21c-42673cc5e672 · outbound

This paper cites Metareg: Towards domain generalization using meta- regularization.Advances in Neural Information Processing Systems, 31.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Metareg: Towards domain generalization using meta- regularization.Advances in Neural Information Processing Systems, 31

Reference 2

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raw_fallback, observed 2026-05-27T05:28:39.440921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 32f635fa-f75f-48a1-b4a0-be8f58d57799 · outbound

This paper cites General- izing from several related classification tasks to a new unla- beled sample.Advances in Neural Information Processing Systems, 24.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization General- izing from several related classification tasks to a new unla- beled sample.Advances in Neural Information Processing Systems, 24

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 26a25924-e60b-47e4-8201-d9447a30afb5 · outbound

This paper cites End-to- end object detection with transformers.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization End-to- end object detection with transformers

Reference 4

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raw_fallback, observed 2026-05-27T05:28:39.625160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:cf438888bd90b33053cc3afbeadb0f03da912cae2286b9f451ffe18536d55a29

Observation 8617d117-3f3b-41b1-9542-7cd9dbd023e9 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Emerg- ing properties in self-supervised vision transformers

Reference 5

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raw_fallback, observed 2026-05-27T05:28:39.617406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 44b78d74-9794-4890-babc-6f7cf14ba316 · outbound

This paper cites Visual Causal Feature Learning.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Visual Causal Feature Learning

Reference 6

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arxiv_id, observed 2026-07-04T19:59:40.188003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 06747d69-b735-4ffc-8bd1-a59b41dbf5f1 · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 7

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arxiv_id, observed 2026-05-12T08:51:24.788625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d16dd21f-ffe8-4b3f-92cb-794732f4c700 · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Masked-attention mask transformer for universal image segmentation

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:468afea3a9dd307b2a61f4fde36629f6bb865c0c2e1cd51e3b69a405f0c91306

Observation 22fa0e82-05c4-4bf6-9213-51e9c5512202 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization The cityscapes dataset for semantic urban scene understanding

Reference 9

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raw_fallback, observed 2026-05-27T05:28:39.633275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4dfb8512-b474-4c1b-8be3-8e13d754bcda · outbound

This paper cites Improving single domain-generalized object detection: A focus on diversification and alignment.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Improving single domain-generalized object detection: A focus on diversification and alignment

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 505e0c14-cf1c-4b6a-b4fe-6ab1c2c89904 · outbound

This paper cites Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations

Reference 11

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arxiv_id, observed 2026-05-12T08:51:24.793949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b5e63f2b-61c6-4fe9-9cba-09679c1131bf · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

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local_arxiv, observed 2026-05-12T08:51:24.747248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 5e1e7482-3a5c-4d3a-974e-07d287fa3a6f · outbound

This paper cites The pascal visual object classes (voc) challenge.International Journal of Computer Vision, 88(2):303–338.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization The pascal visual object classes (voc) challenge.International Journal of Computer Vision, 88(2):303–338

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 89b17ccc-aa6c-417e-b1ff-10a86e0cd196 · outbound

This paper cites Tood: Task-aligned one-stage object detec- tion.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Tood: Task-aligned one-stage object detec- tion

Reference 14

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raw_fallback, observed 2026-05-27T05:28:39.528918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:176601fa530292659cf4dc65eeaba2f9373467c35f6daf558498ea7fc09b505b

Observation 40abf6cc-b71c-48e2-b9a0-35188afb3986 · outbound

This paper cites Dif- fusion domain teacher: Diffusion guided domain adaptive object detector.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Dif- fusion domain teacher: Diffusion guided domain adaptive object detector

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:3477d324d84fc76afe9d3f7cd05113c2165b0ff86318c891cf5b63bd514c702e

Observation 9b477559-2b12-4131-8881-42ed1bc839cb · outbound

This paper cites Boosting domain generalized and adaptive detection with diffusion models: Fitness, generalization, and transferabil- ity.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Boosting domain generalized and adaptive detection with diffusion models: Fitness, generalization, and transferabil- ity

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:d584c5627a8810f53a7221633909e1753c159f1e3051b34a7b0cb04b7339ff14

Observation 755f1137-eb63-4df2-8fda-c7c0d806bd17 · outbound

This paper cites Generalized diffusion detector: Mining ro- bust features from diffusion models for domain-generalized detection.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Generalized diffusion detector: Mining ro- bust features from diffusion models for domain-generalized detection

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 3a7b6dfe-d74f-46ca-8033-fd4fcd2ea547 · outbound

This paper cites Deep residual learning for image recognition.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Deep residual learning for image recognition

Reference 18

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raw_fallback, observed 2026-05-27T05:28:39.569980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:9952b034c04720f8b3ff45d261f923cea9b12c0ec52140138cbb04abe9163147

Observation 85454079-c6ec-49bb-b326-8d206b8c6cf5 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Masked autoencoders are scalable vision learners

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.659604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 8e478b9c-5338-4786-994e-a82b99766cf5 · outbound

This paper cites Single-Domain Generalized Object Detection by Balancing Domain Diversity and Invariance.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Single-Domain Generalized Object Detection by Balancing Domain Diversity and Invariance

Reference 20

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arxiv_id, observed 2026-05-12T08:51:24.783028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 3c7b1ca8-c21b-4a89-90ed-974dc36c006b · outbound

This paper cites Learn- ing with side information through modality hallucination.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Learn- ing with side information through modality hallucination

Reference 21

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raw_fallback, observed 2026-05-27T05:28:39.501212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:a5135521d85396b720762f1f3ebddba46e4f1a3d548c71fdc9b710065fd69331

Observation c2962707-f188-4583-a257-a0693e884999 · outbound

This paper cites Fsdr: Frequency space domain randomization for domain generalization.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Fsdr: Frequency space domain randomization for domain generalization

Reference 22

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raw_fallback, observed 2026-05-27T05:28:39.497134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7a3c942f-4486-4916-89aa-c832fd4d8340 · outbound

This paper cites Cross-domain weakly-supervised object de- tection through progressive domain adaptation.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Cross-domain weakly-supervised object de- tection through progressive domain adaptation

Reference 23

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raw_fallback, observed 2026-05-27T05:28:39.505134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:9967fc3695cac39b0e1f8677c36d2dfbd9104ac2f11cb8089174ede104c1320b

Observation d622fdad-a88b-4523-907d-5d9682499b9a · outbound

This paper cites Undoing the damage of dataset bias.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Undoing the damage of dataset bias

Reference 24

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raw_fallback, observed 2026-05-27T05:28:39.483548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e66eccf7-6374-4771-ba07-aa52331a1b96 · outbound

This paper cites Segment any- thing.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Segment any- thing

Reference 25

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raw_fallback, observed 2026-05-27T05:28:39.487871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:39b82e49c506b9e1bf111b715b875aa712ca2221592e41c233d7ddce51423af1

Observation ee8f1747-3532-4ab5-83e8-505a00fd6b19 · outbound

This paper cites Object-aware domain generalization for object detection.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Object-aware domain generalization for object detection

Reference 26

Resolution
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raw_fallback, observed 2026-05-27T05:28:39.509296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:b9a19de50d487a7ff8c967363138466ed85a0ca2af12c71169408e1c94b284d3

Observation 2f1df54a-2181-4e72-8870-248d08d111fb · outbound

This paper cites Deeper, broader and artier domain generaliza- tion.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Deeper, broader and artier domain generaliza- tion

Reference 27

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raw_fallback, observed 2026-05-27T05:28:39.493077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 8d2f35e4-40fc-4b28-a8a2-363c02569d51 · outbound

This paper cites Learning to generalize: Meta-learning for do- main generalization.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Learning to generalize: Meta-learning for do- main generalization

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.656229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:162cece774d8775f993e8ee1434859da54cb47b794c502aa1fd75096495a2d18

Observation ec018c8a-7a6d-4e72-a2df-1ffc01e9903c · outbound

This paper cites Prompt-driven dynamic object-centric learning for single do- main generalization.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Prompt-driven dynamic object-centric learning for single do- main generalization

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.467424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:1c0713f1f46514baa3c8a878f199e45b92f029dee5ae5c1e9f1b23dca092fe7e

Observation bd03a150-5fa5-4757-afc9-07da515a37b7 · outbound

This paper cites Deep domain generaliza- tion via conditional invariant adversarial networks.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Deep domain generaliza- tion via conditional invariant adversarial networks

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.454617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:6905a9a3b5f7ee0eaa61a510785e06cc0ab74e4eadb2073b97fc3130347efb4a

Observation 9e5825df-48fe-4932-b793-6677fa37b2a6 · outbound

This paper cites Feature-critic networks for heterogeneous do- main generalization.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Feature-critic networks for heterogeneous do- main generalization

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.459038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:40847c721a09585129b99269bd3d8466faca7ca2a1b0488e98ec100fd74cfac2

Observation 43a0f52d-d2db-4075-8a41-97184f7078da · outbound

This paper cites Cross-domain adaptive teacher for object detection.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Cross-domain adaptive teacher for object detection

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.463271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:5cd1cd7dcba94a6641626c0f03d097752f602da69d08175cca881d932a32d897

Observation 84e14e37-78a4-45a0-a1c6-d606cf6e46d0 · outbound

This paper cites De-confounded gaze estimation.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization De-confounded gaze estimation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.513255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:acefeefd384c2f2fba51a9716b500b91a79a7b9d57c487b3a984ce70f9db01d2

Observation 92a96ec8-3ed5-4925-9f9c-005b174572ff · outbound

This paper cites Domain-invariant disentan- gled network for generalizable object detection.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Domain-invariant disentan- gled network for generalizable object detection

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.663213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:9f587b00661f19e6ec6677df68f6d7887ae9f9d82e7571cb4b81a52fa05b208a

Observation d129396c-ca80-4dcc-ac1a-6e0e76e2968b · outbound

This paper cites Feature pyra- mid networks for object detection.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Feature pyra- mid networks for object detection

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.436426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:f668eec7beb74a644b2c02d1ad0fa74cab699e5e6de3ded086ab93d40621f68d

Observation f9c1e1f3-837b-4e12-af4c-a4a1251d0397 · outbound

This paper cites Shape-aware meta-learning for generalizing prostate mri segmentation to unseen domains.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Shape-aware meta-learning for generalizing prostate mri segmentation to unseen domains

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.672080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:f732c3f3255553ff794fe8825fba918d06189816ec767a262142030f8bb39b99

Observation fac88207-9ffb-4c96-9d24-26b92b800ffb · outbound

This paper cites Ms- net: multi-site network for improving prostate segmentation with heterogeneous mri data.IEEE Transactions on Medical Imaging, 39(9):2713–2724.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Ms- net: multi-site network for improving prostate segmentation with heterogeneous mri data.IEEE Transactions on Medical Imaging, 39(9):2713–2724

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.594005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:58a7cee1d6d2f6670becf56c4351f3da492e8396ea8c811140658fea68d0948d

Observation 3954ebb3-59af-4440-a25d-f3aa67b8c943 · outbound

This paper cites Cross-modal causal relational reasoning for event-level visual question answer- ing.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10):11624–11641.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Cross-modal causal relational reasoning for event-level visual question answer- ing.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10):11624–11641

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.538177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:49c7f245a0763ac9a992057ef137e3e161d5e53db9b9735b4c0c07b096a60589

Observation b83a98e3-60af-40f7-8bfd-0fecb14fa8a3 · outbound

This paper cites Unbiased faster r-cnn for single- source domain generalized object detection.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Unbiased faster r-cnn for single- source domain generalized object detection

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.601641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:fd85317f81c8bba8acd89f94c2375461bac99403c1d6eb0dbfc58bfddb466392

Observation 73da26a7-a842-4c5f-9786-be900d1c76bc · outbound

This paper cites Discovering causal signals in images.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Discovering causal signals in images

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.613773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:6d69cf19b0af3ef3e2900a1767ee72bdf69f29c138fd15060bd8a004fb03f11a

Observation c1559892-e4a5-4040-99d6-d0b3fdb9d0fe · outbound

This paper cites Ensemble of exemplar-svms for object detection and beyond.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Ensemble of exemplar-svms for object detection and beyond

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.475983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:fd33703162ac2ebb071987e6905ae9867dd4c778035e2e3402a29a28b5277475

Observation 25ca258d-b581-438a-9d35-31d5f269688c · outbound

This paper cites A survey on bias and fairness in machine learning.ACM computing surveys, 54(6):1–35.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization A survey on bias and fairness in machine learning.ACM computing surveys, 54(6):1–35

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.517083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:d80cb0bc93283d8d7d06c33f5809e91883f886e505c8d8f0e487fce045b4aacb

Observation 6358f359-e80a-439b-9754-bfd9ab05d5f9 · outbound

This paper cites Causality: models, reasoning, and inference, by judea pearl, cambridge university press.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Causality: models, reasoning, and inference, by judea pearl, cambridge university press

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.471955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:6da42eddf89c6b1d981773df0f500d2646332c2d6b3f983b269529a50fe20c5c

Observation a3791fb5-7de1-42ae-b092-cb2dc2aa53e9 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization DINOv2: Learning Robust Visual Features without Supervision

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-12T08:51:24.777584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:a7c113db8fcacf24ca7e685c9419a8787605a32a7ffc156e3150f37543cefce5

Observation af67aa85-4ba3-4b19-aab0-2f8537c994e2 · outbound

This paper cites Basic books.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Basic books

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.479621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:4908f60d0df0025928c776d8cbe823c634ac8463100ac6073751248c5ea13f91

Observation 61758df7-74fc-430b-85d6-844f01e5bd5f · outbound

This paper cites Causal inference in statistics: A primer.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Causal inference in statistics: A primer

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.573589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:9438da91b030d0791e1c23365b4b2d69fd938795dca40d662806f94154b5a3d6

Observation 978bfd53-1caa-4cb9-906d-9429ebbe43b3 · outbound

This paper cites Sim-to-real transfer of robotic control with dynamics randomization.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Sim-to-real transfer of robotic control with dynamics randomization

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.444938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:b856bc4815baf520937dc8b877173a0481033e8eeaf7bb8fb1997698c2973a0e

Observation 176e95a5-3bc7-44e1-8d17-addc7778f247 · outbound

This paper cites Correlation-aware adver- sarial domain adaptation and generalization.Pattern Recog- nition, 100:107124.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Correlation-aware adver- sarial domain adaptation and generalization.Pattern Recog- nition, 100:107124

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.423274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:aaf9e913daf2b7ed2250041bfedbf21d9181792d0ff9ef618d31639f3177d7f8

Observation b0badfca-0fc1-46f3-b126-c5c5f4da542b · outbound

This paper cites Srcd: Semantic reasoning with com- pound domains for single-domain generalized object detec- tion.IEEE Transactions on Neural Networks and Learning Systems.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Srcd: Semantic reasoning with com- pound domains for single-domain generalized object detec- tion.IEEE Transactions on Neural Networks and Learning Systems

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.427556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:439031a900610db5e55496bc53d5e0f467bec4ec2095f12f3b2e59a50106fb27

Observation d819f950-3df6-4483-b3f2-50b62183d9be · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization SAM 2: Segment Anything in Images and Videos

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-12T08:51:24.756678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:f34c4aff5029cb88d266342ee73948902c84479e5ba09720653e02d00e6e76a1

Observation 3099435d-1e3c-4e65-a6ca-bc75e8ea2a98 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(6):1137–1149.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(6):1137–1149

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.577435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:f71d7fee6c3ab8b45d11be31017a71a20f5c2304d75decbc5a6bd0b9f2b7dbc8

Observation bd020b4c-1429-48a3-a03d-6b9410f55bf7 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization High-resolution image synthesis with latent diffusion models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.557556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:571601b4e3d1c9e86a275527dc4c92a9993f578f92833e5217151d0fd51c7e7c

Observation 4d4b4f00-a9b3-48ad-adf9-cb303d86dbf8 · outbound

This paper cites Strong-weak distribution alignment for adaptive ob- ject detection.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Strong-weak distribution alignment for adaptive ob- ject detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.553891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:4adfe461b0741bd2aab8fa57d00d50a156f7fd405a927cab6a88f1df70ae8750

Observation a919f9e9-2cc7-4e7f-a50e-7e6d7b36fdb2 · outbound

This paper cites Seman- tic foggy scene understanding with synthetic data.Interna- tional Journal of Computer Vision, 126(9):973–992.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Seman- tic foggy scene understanding with synthetic data.Interna- tional Journal of Computer Vision, 126(9):973–992

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.561536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:f381c19fe28132034aa868e2f6db5ff8398a3701841f922ca93487bbcd46bdb5

Observation 5990bac4-a8db-4d0f-a895-2e418603c67a · outbound

This paper cites Improving weakly supervised object localization via causal intervention.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Improving weakly supervised object localization via causal intervention

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.546133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:7cea98816dde38c14166a0f0898c92cf2795d8b89f8f6643cfb4b56a889cd304

Observation 0b727a39-51fb-490a-b27e-b3656dfb5160 · outbound

This paper cites Towards universal representa- tion learning for deep face recognition.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Towards universal representa- tion learning for deep face recognition

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.542029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:1c337d6219c0cac4486e72d55700ee7903eae2cdd3bdf63d4f327082bca68616

Observation 41c911f4-41f2-47cc-afae-acba322c6366 · outbound

This paper cites DINOv3.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization DINOv3

Reference 57

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T08:51:24.743445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:844729c2032d7fda46c4ad4ecb1c1c25666001ddfc1a1acba60e26835786f8b3

Observation 8dc419ee-4913-4635-a1b1-a82728ad8c62 · outbound

This paper cites Sparse r-cnn: End-to-end ob- ject detection with learnable proposals.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Sparse r-cnn: End-to-end ob- ject detection with learnable proposals

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.549697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:291158cb1e1e0f360197793c07817e8cdd0fbaac206228243fef7bfcc32a2bb2

Observation b37e317c-9af1-4f3c-b678-3c67c6d669e1 · outbound

This paper cites Drone-based rgb-infrared cross-modality vehicle detection via uncertainty-aware learning.IEEE Transactions on Cir- cuits and Systems for Video Technology, 32(10):6700–6713.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Drone-based rgb-infrared cross-modality vehicle detection via uncertainty-aware learning.IEEE Transactions on Cir- cuits and Systems for Video Technology, 32(10):6700–6713

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.565803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:6be42a92188c3a83c0fdf2a66d9b47cb24b3a0a37637210d8f083e4533d3556f

Observation 4dd04997-e966-4df5-bf60-b2147aebb95c · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Domain randomization for transferring deep neural networks from simulation to the real world

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.585986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:54beb6f0542226ae69fcea21d06934a5362ea4433dc3b34d26e5da6e1da879f0

Observation 94b68796-7765-42e9-983f-375db47315fc · outbound

This paper cites Dictionary learning.IEEE Signal Processing Magazine, 28(2):27–38.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Dictionary learning.IEEE Signal Processing Magazine, 28(2):27–38

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.590290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:d19cf3015684e0b2020317c0cfe8ee022ab6ee3b010e78344a559adbc3d890d4

Observation 5ed7204a-3d56-4829-99c0-0959d1848bad · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 30.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Attention is all you need.Advances in Neural Information Processing Systems, 30

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.605580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:787a652913f6bc62a04fb85d75f6b523b34a334e828fb3d7a3a712ca7aaac036

Observation baa1599e-8e8f-4d99-94f0-a5306b4556ec · outbound

This paper cites Clip the gap: A single domain generalization approach for ob- ject detection.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Clip the gap: A single domain generalization approach for ob- ject detection

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.597574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:04417cf83af4d54315f5b9a47cf5242a1666308d873265bd2e8adc1538e89c9d

Observation 6a1d477d-e328-4c96-b2af-1b99a1af5342 · outbound

This paper cites Addressing model vul- nerability to distributional shifts over image transformation sets.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Addressing model vul- nerability to distributional shifts over image transformation sets

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.645158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:2ea601406d43b950e9aa44b98f08511005a5a4f724b4a0157fa363c8bb9418b7

Observation 8e5b5e50-2fe2-4adb-a532-9b0c70c73ea7 · outbound

This paper cites Crosskd: Cross-head knowledge distillation for object detection.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Crosskd: Cross-head knowledge distillation for object detection

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.637221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:1609935a1d42a70a69343402d1ac8442f380a7da489f3ceca0006b2958c66152

Observation 99865314-662c-404f-b5ef-41f795715b3f · outbound

This paper cites Vision-and-language naviga- tion via causal learning.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Vision-and-language naviga- tion via causal learning

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.449014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:767459dfaf91cef08c6170a947c0af3bdd470b83a2259af135b1665b54b19948

Observation c45152e5-7ea8-4c69-99a1-11c41330ddb2 · outbound

This paper cites Visual commonsense r-cnn.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Visual commonsense r-cnn

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.629488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:1a1902afe2799f9ba22b4a4a8194fa96321f4bef5c12c5d67678057ed84c30be

Observation 097363ba-60db-48bc-b492-2666c19e98ba · outbound

This paper cites Stronger fewer & superior: Harnessing vision foundation models for domain generalized semantic segmentation.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Stronger fewer & superior: Harnessing vision foundation models for domain generalized semantic segmentation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.652626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:a9933d9009165f78bb3db187c327b8b56391ad6756f06e37bca957c209d409b6

Observation dc2a0280-b36f-4f73-b177-36f8ed96f4e4 · outbound

This paper cites Single-domain generalized object detection in urban scene via cyclic-disentangled self- distillation.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Single-domain generalized object detection in urban scene via cyclic-disentangled self- distillation

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.675839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:9dea867a86c5f6ac82524cb048d192456520d552e71bf7bd48dab3f6f91adc5f

Observation b4199b26-1707-4be4-a0e5-649a0b318d2a · outbound

This paper cites G-nas: Generalizable neu- ral architecture search for single domain generalization ob- ject detection.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization G-nas: Generalizable neu- ral architecture search for single domain generalization ob- ject detection

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.666867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:7b8f6c026a95b3f1d888918c1b5f11367bfe6bd5dbc2525f2e5139124a6eec02

Observation 96457db1-63eb-4dcb-8361-25bbc5e99676 · outbound

This paper cites Show, attend and tell: Neural image caption gen- eration with visual attention.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Show, attend and tell: Neural image caption gen- eration with visual attention

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.610102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:ba6773c0e2929fd7e80f47b7663257e29e0757984dbbdd06524238bde0dc8a64

Observation 7d99091f-cbce-4011-b93b-3566ff235abd · outbound

This paper cites Multi-view adversarial discriminator: Mine the non-causal factors for object detection in unseen domains.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Multi-view adversarial discriminator: Mine the non-causal factors for object detection in unseen domains

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.419454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:be1abbece357b22de1e2f21d12d397acefe69bdec674ac4bfa0c2816cb731e09

Observation e067c250-89fb-40c3-a74b-56988cc62710 · outbound

This paper cites A fourier-based framework for domain generaliza- tion.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization A fourier-based framework for domain generaliza- tion

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.406856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:3f5e5a420db32fedaf488f6c0d625550c9dd6cd2c06e04b091cc06ff7fd01e80

Observation ba20dd68-14be-40ae-933e-b98331054968 · outbound

This paper cites PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:51:24.768460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:4d133a067ec86df8ba24a89593a52f2632ee0b707d3a4f8f2fb72e28a30f8b55

Observation 18d76dca-1794-405f-ac15-07392d4f15e3 · outbound

This paper cites Deconfounded image captioning: A causal retrospect.IEEE Transac- tions on Pattern Analysis and Machine Intelligence, 45(11): 12996–13010.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Deconfounded image captioning: A causal retrospect.IEEE Transac- tions on Pattern Analysis and Machine Intelligence, 45(11): 12996–13010

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.432530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:d578ed1966660f7415f33443d99ac31570e4f618e7822af54100f10826920d13

Observation b6da4ad0-dbd4-47ad-a0c6-4a1db4c3ad4c · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.395614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:69af4f080c240c05b33d4248c54a6740667516cf2a9de08c8f9d88723dbbf5a7

Observation cd4d9b30-65d7-41e7-a25e-47a683ac6a13 · outbound

This paper cites Domain randomization and pyramid consistency: Simulation-to-real generalization without accessing target domain data.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Domain randomization and pyramid consistency: Simulation-to-real generalization without accessing target domain data

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.398994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:d7f70fb53dbca2d7cb54f83a40cd3ceb246e56ccafa89878d2067046a0794991

Observation ed30e78e-3f3f-4bb8-a88e-e97f3fa3489b · outbound

This paper cites Soma: Singular value decomposed minor components adaptation for domain generalizable representation learning.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Soma: Singular value decomposed minor components adaptation for domain generalizable representation learning

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.411360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:6ca58811f76fbca9cd0298aabeaf6a9af2e9555cfd299936250f06894a79e28e

Observation c2b898a9-bc0c-4290-9f56-5e1e5810774f · outbound

This paper cites Causal intervention for weakly- supervised semantic segmentation.Advances in Neural In- formation Processing Systems, 33:655–666.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Causal intervention for weakly- supervised semantic segmentation.Advances in Neural In- formation Processing Systems, 33:655–666

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.391706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:38b5badf277b919226667fbebdc3ccd13cc304f41f6d334d1f2951366d1bbafa

Observation 2d4fe87f-cd6f-49ba-984f-9d5c06f7307d · outbound

This paper cites Multiple adverse weather conditions adaptation for object detection via causal intervention.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(3):1742– 1756.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Multiple adverse weather conditions adaptation for object detection via causal intervention.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(3):1742– 1756

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.402889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:5147c4143cc20d71285b32a5cb0f7cebd274be49117139d765c4782b0177fe50

Observation 7ebd8736-8e95-4567-ab90-095b2a7e83d7 · outbound

This paper cites Style-hallucinated dual consistency learning for domain generalized semantic segmentation.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Style-hallucinated dual consistency learning for domain generalized semantic segmentation

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T05:28:39.415675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:f8e5d326cd28a2d80c3756a87b8a711c91085dd2d5f28ea485929fb238f4a630

Observation 7dffadae-640a-4051-9ff0-e776e3056a25 · outbound

This paper cites Domain Generalization with MixStyle.

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization Domain Generalization with MixStyle

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:51:24.763054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:37:54.208900Z digest=sha256:632a2d1545f35d4dc5459b7d9199d7f03962f9b930842ee887388512c0066a76

Pith citing papers

No inbound Pith citation observations are available.