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Paper Citation Record · LEDGER

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.03984.

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

pith.paper-citation-record.v1
2507.03984 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:00:21.679145Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

26 of 26 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d049acdf-277a-4259-a609-883839aaf82b · outbound

This paper cites GPT-4 Technical Report.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T20:00:21.578893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:00:21.578893Z digest=sha256:bdbf1e4e37a8d707e52ab285c3ed7377805133e27f746a40429a905b3a9eb19b

Observation 69795b9b-f0ca-45b0-999a-c1020bb8438c · outbound

This paper cites Alayrac, J.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Alayrac, J

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:00:21.980192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.583736Z digest=sha256:9b29b63e1f1f01e75d13953d2d6fb15d24fbcdf62f46a2de03b9c31376d4b87b

Observation f8b32a13-756b-4e49-9983-1f67bf4b0b39 · outbound

This paper cites Brown, B.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Brown, B

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:00:21.969485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.587697Z digest=sha256:54e08cc27f3ccbdf2b75ef6f3b7404f2b2ac1805fc366cb13506fa808bc0a18e

Observation 3ae7177f-0370-40c8-ba17-aa64f43343e3 · outbound

This paper cites an unresolved cited work.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:00:21.958473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.591850Z digest=sha256:75347b7a47df2b441f2aa051f1aafe1d0a1dc8093f25b5cc120791f1b2da47ed

Observation 0125661d-e4ac-4f45-a5b6-19d07b2f39bb · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T20:00:21.595938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:00:21.595938Z digest=sha256:2d3ee26ad43a22f526ff76f64db28355b026a58c75e88d2aaf99ff9c6d0e57fc

Observation a334491e-4b95-407d-90a2-4fd6acacf315 · outbound

This paper cites Di Biase, H.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Di Biase, H

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:00:21.947936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.599631Z digest=sha256:68ef8e4b839177baee4d057c19a9b37f9d210e06e6ec754cb94d1c416403c8b1

Observation 6c4a4bfd-53d6-4e73-bd85-54efeca31d3a · outbound

This paper cites Grci ´c, P.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Grci ´c, P

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:00:21.937673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.603733Z digest=sha256:569abf10514d313879a17f9b54c158a2abcf7638bb4df4b741d3aa79b63ff0d2

Observation 7ad32c7e-612c-490b-8886-2414e261db4c · outbound

This paper cites Scaling Out-of-Distribution Detection for Real-World Settings.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Scaling Out-of-Distribution Detection for Real-World Settings

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T20:00:21.607571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:00:21.607571Z digest=sha256:c778d81f9919c27c5918305ecd7d257aa05d47feb83571c05dd3f6ab4c8debe5

Observation b8d38076-b416-46c3-ac54-fc47037edef7 · outbound

This paper cites On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T20:00:21.611396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:00:21.611396Z digest=sha256:80f80698b881238668387eda5ec70758b69f7a5d9c1acc18d7d3a53ecd71e17a

Observation 83b30f85-2dc2-49bc-9626-6dacb9700440 · outbound

This paper cites Kirillov, E.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Kirillov, E

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:00:21.927661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.616059Z digest=sha256:c47d5328cc3f33b9749cdcefd770b65e4bffa89536a283824fe498d2c7fe47cb

Observation b8bae222-ae0e-4af0-9483-060a8765ab8e · outbound

This paper cites Liang, W.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Liang, W

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:00:21.917300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.619345Z digest=sha256:02540080d8a5fd33c74139d4becf3315863e778687b362dc0936ca739b81c031

Observation 05910e36-9bde-4128-a637-cc4a8ed75f55 · outbound

This paper cites an unresolved cited work.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:00:21.906826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.623019Z digest=sha256:011ce454ddd3a584e325a885243f82fb9ccaa35cd292effe7c0209c8019889fc

Observation a4834b67-83eb-448f-b32d-39e26e2d20f6 · outbound

This paper cites an unresolved cited work.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:00:21.895650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.626775Z digest=sha256:2191ea7cb0d4054f127101d2860353c1bf19dc8fc91508415965628072663c9d

Observation 29bb4bf9-b529-4b2e-be47-16a9bd44e6b9 · outbound

This paper cites an unresolved cited work.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:00:21.884546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.630937Z digest=sha256:eebda195f46ec7b6153b9cacaffb3f4f36a351b2261169a05721eb10e8352b7f

Observation 17eba37f-e39a-437d-aa23-f8186e461acb · outbound

This paper cites an unresolved cited work.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:00:21.873624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.635201Z digest=sha256:d45c187b52ba9c16b260e0da99de6b47a9914dc7d8d12c12c137616796003c00

Observation c23b8a61-b5cb-4a6c-8acc-8171becc0267 · outbound

This paper cites Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T20:00:21.639221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:00:21.639221Z digest=sha256:75c3fc0207e3162c8a553b4612548f2db8d0a77fb195ab2bda93464b7e591549

Observation e029bb3b-17f2-488b-93fd-74e85800d34f · outbound

This paper cites Mitra, B.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Mitra, B

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:00:21.862467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.643046Z digest=sha256:4806afbb657017e2401109313e0a4a535536613487a8377f9fbeb176504dfa2e

Observation 2850b2c6-39fe-46ba-be12-e53d1c58b2f0 · outbound

This paper cites Nayal, M.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Nayal, M

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:00:21.851653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.646465Z digest=sha256:5d829adc86fdf56a523ba97058be9d32f458f4892457369b4d836dc19158c5ed

Observation 57aae965-081b-4970-8073-ceb675f76936 · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T20:00:21.650434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:00:21.650434Z digest=sha256:1caae0a39e9b40f414119f5397ad9a61895333189b3b7b3e35bcd1a5b9ab3bf0

Observation 81c3ff68-ba7f-4ba6-a4fb-88a23c4308ae · outbound

This paper cites an unresolved cited work.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:00:21.840275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.654815Z digest=sha256:d3fa4c31dcd7cc96e09befe43b45c3cb8fcfc8cb0bac3c3a9a5bd6d6f7324835

Observation b2735a6c-c48f-4deb-80a4-a43fb69a1c96 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T20:00:21.658602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:00:21.658602Z digest=sha256:b27b8cc14fde5379e61bf561bcbaa4468dafe90f771974c9d85f55d8f48b3c77

Observation c1e3b51a-ab8a-4fa9-be3c-c3b704f50192 · outbound

This paper cites an unresolved cited work.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:00:21.828912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.662385Z digest=sha256:83e641765e822913f1ba1bed3d61dbec5b268d7e57a6069a3f903f9b5f9728a8

Observation 38eea665-148b-4db7-bdc9-5b4cad401e6c · outbound

This paper cites Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:00:21.715910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.665927Z digest=sha256:f54456c41ae767d2920485d1b7388b7335aacd8304a8f9f606aba0d794e85444

Observation a4cb9a2e-6e1c-4145-89d2-ab4f4c75a867 · outbound

This paper cites an unresolved cited work.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:00:21.817062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.670538Z digest=sha256:79587eabea588bdb8eb0bda4af6308808ff8c8f080216cc18560f6481c61f924

Observation 224c0647-1069-4add-8c50-d78b5f4e0ce1 · outbound

This paper cites an unresolved cited work.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:00:21.805948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.675012Z digest=sha256:0b049c4cc17887626995eabfd840d7d7d5d3873dd82f79bebc5612c8774fd67d

Observation 73a89be5-32a5-49a5-8a5d-15d74c191c2b · outbound

This paper cites an unresolved cited work.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:00:21.794928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:00:21.679145Z digest=sha256:5875f133cbc80eab9d8add1f642f7659ba7141dd822f634d66cc9adb25e53d2d

Pith citing papers

No inbound Pith citation observations are available.