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Paper Citation Record · LEDGER

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation

As of 24 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2507.11030.

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

pith.paper-citation-record.v1
2507.11030 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:24:45.715756Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

50 of 50 outbound references displayed

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  • verified fuzzy44
  • unresolved5
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  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3f647c4-b13a-4517-b0c8-aa01eba937aa · outbound

This paper cites Ex- ploiting a joint embedding space for generalized zero-shot semantic segmentation.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Ex- ploiting a joint embedding space for generalized zero-shot semantic segmentation

Reference 1

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Observation 3473d600-4889-4aca-8f4a-446e43765f8c · outbound

This paper cites Towards in-context scene understanding.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Towards in-context scene understanding

Reference 2

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Observation 8c627166-96e2-424c-a448-72d8bbc3f622 · outbound

This paper cites Zero-shot semantic segmentation.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Zero-shot semantic segmentation

Reference 3

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Observation e5e748c0-6f4b-4144-9705-68e32f9816f9 · outbound

This paper cites Coco- stuff: Thing and stuff classes in context.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Coco- stuff: Thing and stuff classes in context

Reference 4

Resolution
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Observation 6222e687-9c87-4b92-aaa4-4057fcd47115 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 5

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Observation 6a267ca9-b1e6-4628-a30d-82dcb637c8ba · outbound

This paper cites Distribution-aware prompt tuning for vision-language mod- els.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Distribution-aware prompt tuning for vision-language mod- els

Reference 6

Resolution
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Observation 696c8e36-4cef-4da3-80b8-d58fa5a5dec8 · outbound

This paper cites this is my unicorn, fluffy.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation this is my unicorn, fluffy

Reference 7

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Observation dda0e86c-358a-49d9-a644-87b367c4d04f · outbound

This paper cites De- coupling zero-shot semantic segmentation.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation De- coupling zero-shot semantic segmentation

Reference 8

Resolution
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Observation afb0c8de-0235-4d35-b0bc-e67dcafa9739 · outbound

This paper cites Context-aware feature generation for zero- shot semantic segmentation.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Context-aware feature generation for zero- shot semantic segmentation

Reference 9

Resolution
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Observation 2b845c53-e10e-46df-8004-81caa3a8869a · outbound

This paper cites knn-clip: Retrieval enables training-free segmentation on continually expanding large vocabularies.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation knn-clip: Retrieval enables training-free segmentation on continually expanding large vocabularies

Reference 10

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Observation 742a3229-33a6-471c-b290-ab6ea475ecd9 · outbound

This paper cites A strong baseline for generalized few-shot semantic segmentation.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation A strong baseline for generalized few-shot semantic segmentation

Reference 11

Resolution
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Observation 5ffc3a0a-cb15-4e92-a19a-6722734caf0c · outbound

This paper cites Tcp: Textual-based class-aware prompt tuning for visual-language model.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Tcp: Textual-based class-aware prompt tuning for visual-language model

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 1733d902-6a0b-49e6-88ff-894d61d2f54a · outbound

This paper cites V oP: Text-video co- operative prompt tuning for cross-modal retrieval.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation V oP: Text-video co- operative prompt tuning for cross-modal retrieval

Reference 13

Resolution
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Observation f0f3bdb1-56f0-4a34-bcb4-14e07ffb026a · outbound

This paper cites Huynh, J.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Huynh, J

Reference 14

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Source-reported events for the cited work

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Observation 7784c168-4e7e-4f22-bfc1-b226d98d76cf · outbound

This paper cites tsf: Transformer-based semantic filter for few-shot learning.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation tsf: Transformer-based semantic filter for few-shot learning

Reference 15

Resolution
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Source-reported events for the cited work

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Observation f7848d99-fcea-4989-aa0a-10839a53efa5 · outbound

This paper cites SLime: Segment like me.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation SLime: Segment like me

Reference 16

Resolution
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Source-reported events for the cited work

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Observation ae00a952-6433-4cc6-b98a-d5d2099ef8ec · outbound

This paper cites Maple: Multi-modal prompt learning.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Maple: Multi-modal prompt learning

Reference 17

Resolution
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Observation e0a336bf-1fd3-42e7-a2bb-57b0ae96d454 · outbound

This paper cites Self-regulating prompts: Foundational model adaptation without forgetting.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Self-regulating prompts: Foundational model adaptation without forgetting

Reference 18

Resolution
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Observation 93f37717-56fe-4db8-ba21-da11678fc0f5 · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick

Reference 19

Resolution
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Observation 24d9148a-b778-4627-841d-aca11d0d05a0 · outbound

This paper cites Language-driven semantic seg- mentation.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Language-driven semantic seg- mentation

Reference 20

Resolution
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Observation afbbcd33-e9ca-4cd9-ad18-816c8faf2bdd · outbound

This paper cites Fss-1000: A 1000-class dataset for few- shot segmentation.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Fss-1000: A 1000-class dataset for few- shot segmentation

Reference 21

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Observation 492ade59-473e-42df-ae66-344ecf32d19e · outbound

This paper cites Visual instruction tuning, 2023.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Visual instruction tuning, 2023

Reference 22

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Observation 91a9c367-81ea-4b10-9cf3-26eb4ed43b57 · outbound

This paper cites Matcher: Segment anything with one shot using all-purpose feature matching.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Matcher: Segment anything with one shot using all-purpose feature matching

Reference 23

Resolution
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Observation 38f0986d-ec65-4334-80cb-65781e06d801 · outbound

This paper cites Simpler is better: Few-shot semantic segmenta- tion with classifier weight transformer.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Simpler is better: Few-shot semantic segmenta- tion with classifier weight transformer

Reference 24

Resolution
verified fuzzy
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Observation 2bfda790-2f95-4d83-9c1c-52d9ba654cba · outbound

This paper cites SegCLIP: Patch aggregation with learn- able centers for open-vocabulary semantic segmentation.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation SegCLIP: Patch aggregation with learn- able centers for open-vocabulary semantic segmentation

Reference 25

Resolution
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Observation 0a1e48ec-e770-484d-b2a7-3f9011851f97 · outbound

This paper cites Bagdanov, and Joost van de Weijer.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Bagdanov, and Joost van de Weijer

Reference 26

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Observation 02da89ce-d6aa-4d3a-b122-a0e2888fef30 · outbound

This paper cites Alvarez, Zuxuan Wu, and Yu-Gang Jiang.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Alvarez, Zuxuan Wu, and Yu-Gang Jiang

Reference 27

Resolution
verified fuzzy
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Observation 803f3442-8577-458b-a8f6-7c13e5f935c0 · outbound

This paper cites Es- sentials for class incremental learning.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Es- sentials for class incremental learning

Reference 28

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Observation e1813dc8-04cb-4cc1-b7fc-866c7b1863c6 · outbound

This paper cites Yo’llava: Your personalized lan- guage and vision assistant, 2024.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Yo’llava: Your personalized lan- guage and vision assistant, 2024

Reference 29

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e1c295af-067d-4954-8a99-52f2941c5e4a · outbound

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Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Unresolved cited work

Reference 30

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Observation 9ebea6fe-4abc-4d9b-9ae3-1be7d8b9e85b · outbound

This paper cites Freeseg: Unified, universal and open-vocabulary im- age segmentation.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Freeseg: Unified, universal and open-vocabulary im- age segmentation

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b3d42bbe-e217-4b94-8fee-73972dfedd59 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Learning transferable visual models from natural language supervision

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0c623990-0d93-4845-a500-7f4a6a4f9108 · outbound

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

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation High-resolution image syn- thesis with latent diffusion models

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8d682261-0a00-4e4a-b153-1712e5bab2db · outbound

This paper cites an unresolved cited work.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Unresolved cited work

Reference 34

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation bf263353-ef3a-415e-b9df-b6e05c1eb415 · outbound

This paper cites Learning to learn better visual prompts.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Learning to learn better visual prompts

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:48.265978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:44.688057Z digest=sha256:b0ab3e3c6d03911d6b368d816cc2b512b93dae89776d7bc9c5f8391cfdb47e00

Observation 02fae60a-a1cd-4830-822e-e4274bca0f6a · outbound

This paper cites Seggpt: Segmenting ev- erything in context.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Seggpt: Segmenting ev- erything in context

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:48.251600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:44.750391Z digest=sha256:c875846d5d386bd5e6705363d8b7a46f64eaffc3eb056db4eb922eb77f7b3c9e

Observation 9df409fb-d2e8-4d4b-9e51-8e900c1a62f9 · outbound

This paper cites Semantic projection network for zero- and few-label semantic segmentation.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Semantic projection network for zero- and few-label semantic segmentation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:48.236920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:44.831914Z digest=sha256:871b175260c0eb0dd6d4e64863913ded9754c02b3fd723866ede79012e2f31bb

Observation 87cfeb3b-f29a-473f-8ca7-c5add7462244 · outbound

This paper cites Open-vocabulary panop- tic segmentation with text-to-image diffusion models.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Open-vocabulary panop- tic segmentation with text-to-image diffusion models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:48.171302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:44.932829Z digest=sha256:b97410d0187b41d9df442e0da344d89ad889091f503988a1951da7956529dca1

Observation e6a7772d-aa58-44a1-9039-9ee0d3083c57 · outbound

This paper cites A simple baseline for open vocabulary semantic segmentation with pre-trained vision- language model.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation A simple baseline for open vocabulary semantic segmentation with pre-trained vision- language model

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:47.874885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:44.978702Z digest=sha256:cbb14119f4270d4e7fa2f83d9f095ff10ad79e14ca39ab2887d025502038438f

Observation d9c5d79f-b89f-4be0-8cae-152be6956663 · outbound

This paper cites Side adapter network for open-vocabulary semantic segmentation.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Side adapter network for open-vocabulary semantic segmentation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:47.506527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:45.031009Z digest=sha256:0a33da9f9df00c67d8ed8d2fdbec02cd639bc1aab43a012567b5d9ccc7c48427

Observation 6a5f39b5-03c0-490b-81b7-fbf6ae768977 · outbound

This paper cites Few-shot segmentation via cycle-consistent trans- former.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Few-shot segmentation via cycle-consistent trans- former

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:47.171822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:45.089570Z digest=sha256:0e6fd09352a4b4e670e1e5a39ae5885758e864bf2eddf16529df6e2f744fb67d

Observation 32a85138-262c-412f-9335-5e2500cfee84 · outbound

This paper cites Personalize segment anything model with one shot.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Personalize segment anything model with one shot

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:46.946240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:45.160727Z digest=sha256:d99f6984256948334eaded9e6b3e3ac42c2271e9102133c59888f28c20996d76

Observation f3afdf87-9776-436d-a057-1ebd8d2a7d67 · outbound

This paper cites Open-vocabulary uni- versal image segmentation with maskclip.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Open-vocabulary uni- versal image segmentation with maskclip

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:46.792737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:45.205993Z digest=sha256:66e24c60928a6dfb7e1e41a98ff3ffb127a6fa32dd6430998b0fa6b9725418b4

Observation 4b01d566-b9aa-407b-8b20-c45fcb055357 · outbound

This paper cites Scene parsing through ade20k dataset.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Scene parsing through ade20k dataset

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:46.679951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:45.276065Z digest=sha256:3b6bff027b71d07976a7ce99c462bacdcba59eac30de6a08603c023c272478a3

Observation fe390b78-58c6-4e2b-86fb-fd434f4f7d47 · outbound

This paper cites Class-incremental learning: A survey.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Class-incremental learning: A survey

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:46.557938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:45.356302Z digest=sha256:cd80bc971f0f8afd42d89f1fa9ef1967bcab7d760cbf9d53cad6130a35a2a88b

Observation aa498e38-1d2c-4660-8fe0-a1663fa100ee · outbound

This paper cites Conditional prompt learning for vision-language models.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Conditional prompt learning for vision-language models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:46.305873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:45.428882Z digest=sha256:d117c3355ee26d6f1d7e0c6ac174067b22907d1dd08f6b2ffe21672b8534468f

Observation dbf2c042-86a2-458c-9cef-c4199b0cc5a6 · outbound

This paper cites Learning to prompt for vision-language models.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Learning to prompt for vision-language models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T17:24:45.496333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:24:45.496333Z digest=sha256:71f7e18642f034b71031eced6f42b0c419e5764907d8c4ccc59469aedda6962f

Observation a2562768-f9c9-45c0-b483-8718a27875d6 · outbound

This paper cites Class-incremental learning via dual augmentation.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Class-incremental learning via dual augmentation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:46.173535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:45.565995Z digest=sha256:11e083dcd7681d0973c3f3968b9cf595ea35852c917b26cf951115f8c25b9041

Observation 88ce0aaa-1e9f-421e-b7f8-360c486f4006 · outbound

This paper cites Segment everything everywhere all at once.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation Segment everything everywhere all at once

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:46.066730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:45.639520Z digest=sha256:fe42292b9d31b2b2c7b0ab3bb910cccd3d6f5ddbe7df004b43641a11f7af7fcb

Observation 775a199d-02b4-4f3d-8052-58dbffc4929d · outbound

This paper cites my boat”, “my bird.

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation my boat”, “my bird

Reference 2023

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T17:24:45.889505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:24:45.715756Z digest=sha256:c0287979b7da5c08b5e11e4f352eb883d6840d7ce7722f077561dc77cebdaed8

Pith citing papers

No inbound Pith citation observations are available.