Pith. sign in

Paper Citation Record · LEDGER

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation

As of 11 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2501.16467.

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

pith.paper-citation-record.v1
2501.16467 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:05:13.357197Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

20 of 20 outbound references displayed

  • verified exact2
  • verified fuzzy6
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5695dded-da5c-48a6-8d2b-65fb580d5bd7 · outbound

This paper cites arXiv preprint arXiv:2405.0 3673 (2024).

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation arXiv preprint arXiv:2405.0 3673 (2024)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:05:13.936675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.266893Z digest=sha256:8a5e429eebe1fe47c96e44d79131c0a21f118e022ebdb1cd61fc0e2133845615

Observation 7f919570-cdfd-4de8-a996-9699d595b7de · outbound

This paper cites Journal of Computer Vision 47, 678–690 (2023).

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation Journal of Computer Vision 47, 678–690 (2023)

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T13:05:13.271384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:05:13.271384Z digest=sha256:99ef5bfdd7a475cc9a4f9ea5cf1d9883b7e095dba4ea305f311f121c260a4253

Observation 9d0a21c7-ef90-4079-aa52-c4a45df268b2 · outbound

This paper cites IEEE Transactions on Image Processing 31, 110–124 (2022).

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation IEEE Transactions on Image Processing 31, 110–124 (2022)

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T13:05:13.275306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:05:13.275306Z digest=sha256:4a0fa34d5cdcf9e5774766aa6e7e7d4b22ab59f071e9945b38d04810dbf3d0b6

Observation 503f8fad-73e5-4e3b-8f2a-692c436450f3 · outbound

This paper cites ACM Transactions on Graphics 42, 1–14 (2023).

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation ACM Transactions on Graphics 42, 1–14 (2023)

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T13:05:13.279436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:05:13.279436Z digest=sha256:57c8d3f578881b0707b27f2da0497d5689b857aa963e573058c0888122b7ef35

Observation 0c92d943-6eb2-4ec6-bbe1-07bf947a0682 · outbound

This paper cites Pattern Recognition Letters 123, 89–97 (2023).

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation Pattern Recognition Letters 123, 89–97 (2023)

Reference 5

Resolution
verified exact
doi, observed 2026-08-10T13:05:13.393380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.284958Z digest=sha256:2d41def2c218a058f20994758328700d763fa14cdfd98435d803c3524d6c6069

Observation ba95c644-e380-4b0c-934b-0c7557dce70c · outbound

This paper cites Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T13:05:13.290278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:05:13.290278Z digest=sha256:1886cc4f2084c1ee21154304d8b68d9b5a922ec1e03fc304c0fcea62f2813112

Observation 15368133-a737-43af-ad4e-3a405f17756e · outbound

This paper cites In: Proceedings of the 17th Conference of the Euro pean Chapter of the Association for Computational Linguistics.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation In: Proceedings of the 17th Conference of the Euro pean Chapter of the Association for Computational Linguistics

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:05:13.922457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.296433Z digest=sha256:dd686aacbeab86d21798e5619bef97b71df260ca3dcf523c087c43fd6b13d743

Observation 1db0a3b2-a30e-4b65-85ba-7fc96cbb2b6a · outbound

This paper cites an unresolved cited work.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:05:13.906134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.301185Z digest=sha256:b3d232b7b49358f6cadf51be8ec32b7514b331b7c630b70bf5e2b64694d5fd05

Observation fee4864f-a207-4b78-9f7e-86a0632a2e19 · outbound

This paper cites Ensembling Instance and Semantic Segmentation for Panoptic Segmentation.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation Ensembling Instance and Semantic Segmentation for Panoptic Segmentation

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T13:05:13.575707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.305836Z digest=sha256:a9131929a705a30a70096dbbf3b21c2efc891a841458e904d850df3e78d7622b

Observation 0cc4930f-1d80-4e4c-ab8f-751074cd38c7 · outbound

This paper cites Learning Panoptic Segmentation from Instance Contours.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation Learning Panoptic Segmentation from Instance Contours

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T13:05:13.555008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.310474Z digest=sha256:5e61e7c97cb615863103b9a3c84c6c8f5adffb99f381d9c30d81433cf83b5417

Observation f8b429be-8fd4-4c4b-bfe5-8e5c87f5e71b · outbound

This paper cites Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-10T13:05:13.534341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.315603Z digest=sha256:9f4550da64868bd280f35f05516e440714caed2ebeeddaeba5404eafa975193d

Observation 61cc2b25-add5-41b9-b1f7-6372b69532c9 · outbound

This paper cites Boosting Semantic Segmentation with Semantic Boundaries.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation Boosting Semantic Segmentation with Semantic Boundaries

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T13:05:13.512243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.320332Z digest=sha256:ed8082583b82b37acd684031f9fc4b462949140d36b5339eb5cd0155e628d224

Observation 7e95f9cf-c839-4c06-a9ad-343bc3cf7817 · outbound

This paper cites Prototype Guided Network for Anomaly Segmentation.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation Prototype Guided Network for Anomaly Segmentation

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T13:05:13.490682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.325018Z digest=sha256:411fefe406b39621c025f2c8d6a5f2ed9231a91822ddb56b63b75a0914ddea0a

Observation 221d311f-5d70-419e-8fef-eeea3cad6286 · outbound

This paper cites DEAL: Difficulty-aware Active Learning for Semantic Segmentation.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation DEAL: Difficulty-aware Active Learning for Semantic Segmentation

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T13:05:13.469418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.329845Z digest=sha256:79766b813e37cf3973db58d46c4f0b8eddef662982757a9f4ec565cc93486959

Observation f2bb29eb-99ee-4057-96de-086eb7643911 · outbound

This paper cites Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T13:05:13.449001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.334423Z digest=sha256:8c681dc7e95f6eb4f77bce63244c391855777534c4ec51580d65873ebdba6838

Observation 47c3fe89-f7a8-4136-a449-78241c12c01d · outbound

This paper cites Semantic Segmentation by Semantic Proportions.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation Semantic Segmentation by Semantic Proportions

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T13:05:13.427503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.338904Z digest=sha256:53b69b26f9521d32d67f5792b24ee730458352c379180bb7f43f1fb06010e428

Observation 856002b7-07c1-4f10-bfb6-b427041c86f6 · outbound

This paper cites : Modeling event- pair relations in external knowledge graphs for script reas oning.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation : Modeling event- pair relations in external knowledge graphs for script reas oning

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:05:13.890092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.343513Z digest=sha256:96654e2ae2d5db3ab965e7e9b88bacba42db16aa6d4dbf1ae898828b470e0001

Observation 9dadb78d-5aaa-495b-adb6-8d54f730347e · outbound

This paper cites In: Pro- ceedings of the 2021 Conference of the North American Chapte r of the Associa- tion for Computational Linguistics: Human Language Techno logies.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation In: Pro- ceedings of the 2021 Conference of the North American Chapte r of the Associa- tion for Computational Linguistics: Human Language Techno logies

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:05:13.873899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.348021Z digest=sha256:66673f078684805f9e8fcfa97aab2cd604b0ee275621051150025eba309cc5a7

Observation 56546526-da10-4d7b-8094-a226aede9c29 · outbound

This paper cites In: Findings of the Associ ation for Computational Linguistics: ACL 2023.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation In: Findings of the Associ ation for Computational Linguistics: ACL 2023

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:05:13.857676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.352728Z digest=sha256:b06122291b5ea04223805783348d32f58d4b7f7bdc4457b6b9d294b48c8cdb83

Observation a3fc8598-37ae-407b-acdb-c8266fc73339 · outbound

This paper cites In : Proceedings of the AAAI Conference on Artificial Intelligence.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation In : Proceedings of the AAAI Conference on Artificial Intelligence

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:05:13.841674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:05:13.357197Z digest=sha256:6c446d80448b1cffc1d334de00e18b92bf7b8b799636cefacc254b155217e655

Pith citing papers

No inbound Pith citation observations are available.