Pith. sign in

Paper Citation Record · LEDGER

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning

As of 9 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2505.16974.

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

pith.paper-citation-record.v1
2505.16974 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:55:00.551518Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

53 of 53 outbound references displayed

  • verified exact1
  • verified fuzzy31
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df149757-9719-42f6-bd58-513ab091fd15 · outbound

This paper cites Qwen2.5-VL Technical Report.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Qwen2.5-VL Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:55.240935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:55.240935Z digest=sha256:057d43eb3bf75cf072239f3fcf27d7f9140fdef31d7c8d054247f0e1bda285ee

Observation 4578038d-0ddb-43cf-9d97-397ef8b17960 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Graph of thoughts: Solving elaborate problems with large language models

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:07.079856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:55.363794Z digest=sha256:599378e4aeae046b91c1e8322643b9978bc23be2d319baf5a3b642ee11ac4f4f

Observation c2019963-a214-4127-b28d-8ac89486bb4b · outbound

This paper cites Zero-shot semantic segmentation.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Zero-shot semantic segmentation

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:06.889923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:55.471678Z digest=sha256:5a4e5ff3f657133f65f122a334facc82860e0a16e7e544dd2adf9808c6f968fc

Observation 40020426-045a-4894-9068-7e192cc80a6b · outbound

This paper cites Universeg: Universal medical image segmentation.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Universeg: Universal medical image segmentation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:06.752714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:55.632824Z digest=sha256:69688c19b58d9782db85b473cfe4e175f66503b09e812d7e9a172de19c57bb3c

Observation 49588e13-dea1-4ec5-ad0d-8333c24c4045 · outbound

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

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Coco-stuff: Thing and stuff classes in context

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:06.536458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:55.725912Z digest=sha256:827609a916940b26ecd76ae92750aba6ef3e1f05391e4dfe6073a8a55280a3c0

Observation c43c090b-7aa8-44f6-92ac-1a41cc932c59 · outbound

This paper cites Open-vocabulary Panoptic Segmentation with Embedding Modulation.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open-vocabulary Panoptic Segmentation with Embedding Modulation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:55:00.904928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:55.892210Z digest=sha256:303102de14e6379f40f89c357ff910c3996edae4daf2e80a1118099f665d59b2

Observation b198457e-bddd-4661-9983-dad10af30503 · outbound

This paper cites Cat-seg: Cost aggregation for open-vocabulary semantic segmentation.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Cat-seg: Cost aggregation for open-vocabulary semantic segmentation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:06.385908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:56.030234Z digest=sha256:ec17c8bfc5b6070b214c7feda72b78dc8c3c44c93a10fe2560f0762e55412027

Observation 0777d304-fb0f-4b12-97de-423a7a0ee9e0 · outbound

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

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning The cityscapes dataset for semantic urban scene understanding

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:56.160013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:56.160013Z digest=sha256:44dda2072dcb94c1023edce2f92353767c31408ecb81ff32cc57721dc8c578dc

Observation 9cc0c596-ff2e-4e0c-995a-acd6b46f4722 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:56.327756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:56.327756Z digest=sha256:e9b25b9870768fdf9de59354cd431a038bd31186f8a57a486446fce08104146b

Observation aacaaa08-2934-415c-b5d3-e424452e28a6 · outbound

This paper cites Decoupling zero-shot semantic segmentation.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Decoupling zero-shot semantic segmentation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:06.166465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:56.447706Z digest=sha256:0c4da0dd97d6d90f00ad3a5e5f16b50af040266071d937452737719df9926800

Observation 83d48697-11f7-4868-a57c-3cf4d82be658 · outbound

This paper cites Open-Vocabulary Universal Image Segmentation with MaskCLIP.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:56.581313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:56.581313Z digest=sha256:56493a5d96889d29473b9c401fa17089d925ca4dd3ba1512355d51510fcc6f2a

Observation 9cc51b88-a13b-40c0-a803-a88b04d905cb · outbound

This paper cites The pascal visual object classes (voc) challenge.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning The pascal visual object classes (voc) challenge

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:05.917178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:56.708615Z digest=sha256:fcaac00382f1c20043674728926d51d38331da3a4f214df148fe6a27040fe986

Observation 5bd78bbe-6f87-441c-aa74-09563c718b7e · outbound

This paper cites Scaling open-vocabulary image segmentation with image-level labels.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Scaling open-vocabulary image segmentation with image-level labels

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:05.707881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:56.830080Z digest=sha256:91841ce2dc4da091ade730bdb45806d5c5855475ed6956301e2527c80c525786

Observation 164f693e-1b65-4fc7-b736-8e0dadaeb057 · outbound

This paper cites Zero-shot semantic segmentation with decoupled one-pass network.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Zero-shot semantic segmentation with decoupled one-pass network

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:05.548234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:56.932257Z digest=sha256:2f5496620c22214e396fe3a344325956e5dcf58ed907fddc055241e3be9d5bd6

Observation d139baad-6cbd-4e96-87c4-e70358865c18 · outbound

This paper cites Global knowledge calibration for fast open-vocabulary segmentation.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Global knowledge calibration for fast open-vocabulary segmentation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:05.221150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:57.039423Z digest=sha256:17223472a522f48245e714e34651af0e679063eb25b76c9292a68038b2421cfc

Observation 7e81d9c2-8bca-4c7f-84d3-e4114901a61a · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Scaling up visual and vision-language representation learning with noisy text supervision

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:04.972743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:57.163043Z digest=sha256:f08c07a2b544c9829730e10977ed8475e865dc193356e71ca2f47a5f0faf96b0

Observation f5f74da9-0825-4969-988a-a1e57ad87eed · outbound

This paper cites Learning mask-aware clip representations for zero-shot segmentation.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Learning mask-aware clip representations for zero-shot segmentation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:04.750944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:57.307185Z digest=sha256:e1f3365398d9f607b8440968608866a2da88b731d10251b965595d0350df642c

Observation 27036efb-9f51-4bc9-afa4-098bdee7fa1a · outbound

This paper cites Collaborative vision-text representation optimizing for open-vocabulary segmentation.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Collaborative vision-text representation optimizing for open-vocabulary segmentation

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:04.621215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:57.419543Z digest=sha256:59d11e984a99a99452cd65a5f39fb15addc1119afc652c76d9e0b32584a9a61d

Observation 574db350-6d7f-4060-8ecf-1d6ff4801ad9 · outbound

This paper cites Fineclip: Self-distilled region-based clip for better fine-grained understanding.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Fineclip: Self-distilled region-based clip for better fine-grained understanding

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:04.482616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:57.531488Z digest=sha256:910964bb0ce7799de778713ca69544cfe6865153333c592a0b62e36ba4b027b2

Observation 8320a18e-e446-40ac-95b9-c2e7059435f7 · outbound

This paper cites Language-driven semantic segmentation.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Language-driven semantic segmentation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:04.388296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:57.647856Z digest=sha256:5ec0a818a8daece38509d5a1d722f6d2bd6ac13b9fe4e5e3d085fa3d482f1c3d

Observation b4383c59-9070-4d5a-ad65-30260036bff8 · outbound

This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:57.749830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:57.749830Z digest=sha256:8c62395e08d1e0b914a0ffa1b15a0d695aad11400b5772bde1bcc66ce2513900

Observation 6dc1f31a-8330-4627-89cf-e9498b80aeee · outbound

This paper cites Open-vocabulary semantic segmentation with mask-adapted clip.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open-vocabulary semantic segmentation with mask-adapted clip

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:57.910363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:57.910363Z digest=sha256:4d3b54ba5a1680363c29ee4bc5a55df0a5104cd8448d6167656eb8eb11243947

Observation 6e3c758c-288f-4ebd-aff3-ecf00a8b8acf · outbound

This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:58.058849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:58.058849Z digest=sha256:630286710d488837d36959e37c5ca6c45728506b20146e3eaa750bf719b6cb96

Observation a7ad0235-1ac3-4b39-ba25-af92070b4925 · outbound

This paper cites Remoteclip: A vision language foundation model for remote sensing.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Remoteclip: A vision language foundation model for remote sensing

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:58.183536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:58.183536Z digest=sha256:0e4106dadbde1670247a77fb0bbbcbb9b51c058bf03709307b75aff45123f039

Observation 612b4647-fc5a-4c37-ae34-c2c78ff30e6d · outbound

This paper cites Visual instruction tuning.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Visual instruction tuning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:58.265405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:58.265405Z digest=sha256:326cf74187b3306e49a11323adb3e04d9efa9199b9641f95822283558b83f236

Observation 3e3b7e24-d71e-4fa2-9d5c-c84289256291 · outbound

This paper cites Open-vocabulary segmentation with semantic-assisted calibration.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open-vocabulary segmentation with semantic-assisted calibration

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:04.111055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:58.325734Z digest=sha256:9239dcbf1fd41b3c707201a2fbd800500682bd93dc940f652d5ab568509b5d3e

Observation 828f60e5-2be0-455d-b510-ef587b841767 · outbound

This paper cites Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:58.395860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:58.395860Z digest=sha256:4d33b4208434cdf06c2764ca4d5fc0d5ff2a4e8c0f4730de52b2859643b6e5d7

Observation 49bfb041-e989-46cd-9089-36ccbf3c9196 · outbound

This paper cites The role of context for object detection and semantic segmentation in the wild.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning The role of context for object detection and semantic segmentation in the wild

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:04.002636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:58.464432Z digest=sha256:8c9f031efe763c230afd722871371f88c8e46e196295d86db007b98af6547daa

Observation 0fd97115-b573-4bf3-b7eb-eb594cca3a09 · outbound

This paper cites Open vocabulary semantic segmentation with patch aligned contrastive learning.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open vocabulary semantic segmentation with patch aligned contrastive learning

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:03.819317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:58.528576Z digest=sha256:066c40525a4349abc4f9001601e34dce2cea7f5586819a87c6704f4b20aa9429

Observation 07b727f7-4407-4391-87fe-a8bfe5b40612 · outbound

This paper cites Multi-modal fusion transformer for end-to-end autonomous driving.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Multi-modal fusion transformer for end-to-end autonomous driving

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:03.640330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:58.607678Z digest=sha256:ea8db4c52c4fd45a19417b450ca54718f7325a78794234e0f6b16d433ae0dbad

Observation 65821ae5-7d69-417f-b360-c715d3232fee · outbound

This paper cites FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:58.663806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:58.663806Z digest=sha256:4362f056c1050ff03a2c177ac95a125e4732292ed41b3f5ef16c34814e619517

Observation 40fd47e4-5ccb-4d95-8057-d06f4e269c23 · outbound

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

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Learning transferable visual models from natural language supervision

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:03.433810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:58.739918Z digest=sha256:1a213a453a571f54835b897fd7cf5933cc5113c6e88aab48896f88078c3f112b

Observation 58b812b2-610e-4deb-9b50-9716536baee4 · outbound

This paper cites Making monolingual sentence embeddings multilingual using knowledge distillation.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Making monolingual sentence embeddings multilingual using knowledge distillation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:03.276249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:58.824637Z digest=sha256:957f936dc3e0df714d55220c363a1ba79037568f4fd3e24c2bd1026b32eadd42

Observation 980ea46c-73a8-4e5a-8a0a-02ee1dcdcd9d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning LLaMA: Open and Efficient Foundation Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:58.916036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:58.916036Z digest=sha256:dc45c28729f5a73899c28d099849907e448e11255c9e07363b2856cd46cf3076

Observation 88db6878-8b79-429d-91bb-cd8e387a1eed · outbound

This paper cites Hierarchical Open-vocabulary Universal Image Segmentation.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Hierarchical Open-vocabulary Universal Image Segmentation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:59.006598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:59.006598Z digest=sha256:4a3e6dab9540e41fe7e91fe0855646afe5b3389192d7526783f8939960dfd58d

Observation d0328e41-79fb-439d-bfa9-29ee22989ef7 · outbound

This paper cites Skyscript: A large and semantically diverse vision-language dataset for remote sensing.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Skyscript: A large and semantically diverse vision-language dataset for remote sensing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:03.090513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:59.128753Z digest=sha256:f1706bf07c09be884e8fcbb0c93f9aa574b3223369efbc823e5e91e5d17dcdd9

Observation d05a8e1a-f177-4d60-9cec-c94438c6bcee · outbound

This paper cites an unresolved cited work.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:55:02.915036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:59.217814Z digest=sha256:cdb7831228613c84a964f34f2eac9587ca042bba8b552f938423bbd28ef0dab6

Observation 724773e4-fce9-46a7-ad91-2321f1791518 · outbound

This paper cites Towards open vocabulary learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(7):5092–5113, 2024.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Towards open vocabulary learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(7):5092–5113, 2024

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:59.291116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:59.291116Z digest=sha256:c72b351185a71e1613792d9e6f34e6fa29c4dcde62c6bc841750975195de374e

Observation aaa4a721-8054-4507-a337-1d5eaba0f8da · outbound

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

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Semantic projection network for zero-and few-label semantic segmentation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:02.723235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:59.370838Z digest=sha256:dc740932b7935bb09d19cfb84b32e736ac1c8a735131d9af1cc6696b17196285

Observation 5c91a28c-d88e-495f-b5df-05e93952e17b · outbound

This paper cites Sed: A simple encoder-decoder for open-vocabulary semantic segmentation.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Sed: A simple encoder-decoder for open-vocabulary semantic segmentation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:02.473823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:59.427761Z digest=sha256:bf0af4d69285821d92b98dece6acf3c42d16cb379937128875b01773a9c11e1f

Observation aa57dabe-d4a1-4abf-9dbc-0aa92135ffcd · outbound

This paper cites FG-CLIP: Fine-Grained Visual and Textual Alignment.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning FG-CLIP: Fine-Grained Visual and Textual Alignment

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:59.478902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:59.478902Z digest=sha256:d5b98b6db5a8e340a06742adf5756cbbfb4d60676b13f306799a043ad3aa76c9

Observation c3f26acd-faf6-4078-bc6c-5d03ddd068f7 · outbound

This paper cites Groupvit: Semantic segmentation emerges from text supervision.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Groupvit: Semantic segmentation emerges from text supervision

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:02.312747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:59.483387Z digest=sha256:a8ad0393b7c0737e19d1511e6956acc37181d3e55c8b880045556f74c2e39b3f

Observation 3bb9c853-c64c-4a00-8b97-13231b6c07a4 · outbound

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

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open- vocabulary panoptic segmentation with text-to-image diffusion models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:02.077359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:59.487505Z digest=sha256:744865233d366ac6ee249643d3a6e9c2aacc6940ad6fcd797b48555c8a02f180

Observation 2f433679-d701-49d4-a2de-51dfafef1f24 · outbound

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

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Side adapter network for open- vocabulary semantic segmentation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:01.904214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:59.513964Z digest=sha256:427d62367218e42c4e0bfc00cc216b185ab8d68e49488bee6247d71ebc182b2f

Observation 7b46e5e6-873c-453c-ba2c-2b4741ec673e · outbound

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

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning A simple baseline for open-vocabulary semantic segmentation with pre-trained vision-language model

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:01.697431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:54:59.662103Z digest=sha256:6c8543730a4a74ba9f92b5ce9c4b2b475e643d1dc2472c5dfcd85b1e1efd673a

Observation 4ff54c76-ce13-40da-86d2-51777c03cf60 · outbound

This paper cites Qwen2.5 Technical Report.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Qwen2.5 Technical Report

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:59.779546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:59.779546Z digest=sha256:c6a8fc5392ef73f71c4b71a9d879832ebc94f8de006b252eeb36fe0b1c3c7810

Observation ebb9b491-ccbe-4ff3-853c-9da6848c6fd7 · outbound

This paper cites Griffiths, Yuan Cao, and Karthik Narasimhan.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Griffiths, Yuan Cao, and Karthik Narasimhan

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:59.859535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:59.859535Z digest=sha256:4223fe4c402ad2207f1fc28adc35d59e330918a8502c03232bcdc22a44eef2d3

Observation b30d5edf-523b-4beb-99bc-3da5699f1760 · outbound

This paper cites Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:59.953787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:59.953787Z digest=sha256:c4829641211e233da7ffe167859bf92207f41c5819d39550ca1755e909574641

Observation 953fa962-b130-421d-9353-a104c2b3654a · outbound

This paper cites an unresolved cited work.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:55:01.547819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:55:00.053025Z digest=sha256:a33dfd002ac643f59b62c6e13d38977b4cf19f8f39901fe3526124be5497e70b

Observation 56f356e3-2342-4a39-b49e-c1289f74e590 · outbound

This paper cites Open vocabulary scene parsing.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open vocabulary scene parsing

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:01.417148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:55:00.211996Z digest=sha256:5a47216f35387be16a582d5a0459fe0c4e27c189b7cb46538c2eb38a68d3c598

Observation 77bd9a7c-9559-4bf6-bba7-f28c2265ac16 · outbound

This paper cites A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:01.236717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:55:00.310535Z digest=sha256:62a26ca28eee778dd187c23a98a68c69e8b74e7f67f885a16414261b504d5df5

Observation 815b547b-6a51-4578-85c1-b63601e02c2c · outbound

This paper cites Semantic understanding of scenes through the ade20k dataset.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Semantic understanding of scenes through the ade20k dataset

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T14:55:00.412108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:55:00.412108Z digest=sha256:cea43988f39d4eb5a4d2348e6bbac0eb5b210e35a84b0ff8aa955c6fc3ded23b

Observation c2b565aa-38f2-4291-94d4-e5c6c474e51e · outbound

This paper cites Extract free dense labels from clip.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Extract free dense labels from clip

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:55:01.051537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:55:00.551518Z digest=sha256:f9c99d19e23424c1ac576e89bb6a9f3ab4d3b5619c8e9d38653c7e2a8e6f0d78

Pith citing papers

No inbound Pith citation observations are available.