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Paper Citation Record · LEDGER

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction

As of 19 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2501.01237.

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

pith.paper-citation-record.v1
2501.01237 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:37:22.678439Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:06:04.669396Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:49:58.484168Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7718a3f-9176-4a8a-b41b-c3eb9b4992d9 · outbound

This paper cites In: Advances in Databases and Information Systems.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Advances in Databases and Information Systems

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:23.033320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.583812Z digest=sha256:fb5917da86a66b0fe7d141f72a89f46e6b222c5da03f7d63484112226e1ed7d8

Observation e482c10a-fe00-445f-9f06-37bca16c8567 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Advances in Neural Information Processing Systems

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:23.019744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.588712Z digest=sha256:0130f0788beeda0c1cdca60ed93101369370440b2e9d88f266c7e06a4eee319c

Observation 683e6fbf-fd59-453c-99b6-6669736cb70f · outbound

This paper cites In: Information Integration and Web Intelligence.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Information Integration and Web Intelligence

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:23.005264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.593297Z digest=sha256:71d395f4425910d50bd2c8062219e1a21d88dacaab1b127abbd3477398fdf91a

Observation ce2a8f43-a667-4b32-ab33-03a213e4a7a9 · outbound

This paper cites In: Proceedings of the 47th ACM SIGIR International Conference on Research and Development in Information Retrieval.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the 47th ACM SIGIR International Conference on Research and Development in Information Retrieval

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.990733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.597699Z digest=sha256:7c02ee6a0a8a8350b6fd7d59a772b24e821a4110f590328df0872bead6cc956d

Observation bdc1cf9a-8c0e-4d17-a9eb-171553ff58c0 · outbound

This paper cites In: Proceedings of the 3rd Machine Learning for Health Symposium.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the 3rd Machine Learning for Health Symposium

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.976812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.602097Z digest=sha256:0dcb84bb1d32678938debe4a81fbffb0e293177a3067671ea674c3b48327fcb8

Observation 1968cd1b-2803-41d3-9306-b721ffd98ad8 · outbound

This paper cites In: Proceedings of the Twelfth International Conference on Learning Representations.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the Twelfth International Conference on Learning Representations

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.962039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.606898Z digest=sha256:8dffa1608b7197d637a4450b26aec65103b7b4868dd53df944fc67a995cb0ffa

Observation 24d04fec-944d-46eb-8fbf-8f40d5646950 · outbound

This paper cites Advances in Neural Information Processing Systems, 36:46534--46594, 2023.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Advances in Neural Information Processing Systems, 36:46534--46594, 2023

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.947737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.611874Z digest=sha256:8119789a67a7f1480f63a2f51fc2f9f7107e2789df610093689b2b019209dc76

Observation 9767dd16-3a2d-4afe-9cd6-6de17b53d0d6 · outbound

This paper cites an unresolved cited work.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:37:22.933323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.616701Z digest=sha256:d418d6317a3e54b35ff9e2d75d93f8d046fdd251fb31e7e7755029088cbefb18

Observation dca70af1-9c14-4934-9fd1-dddf1f77c2c0 · outbound

This paper cites In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.919767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.620771Z digest=sha256:83bf4d1c1718c4fc7b471a3b16c834111c8e79bbb5957b1542ea6a4587258e00

Observation 79770fb7-be2c-44b5-934b-628f0400f57e · outbound

This paper cites Transactions of the Association for Computational Linguistics, 12:484--506, 2024.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Transactions of the Association for Computational Linguistics, 12:484--506, 2024

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.906305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.625158Z digest=sha256:f8b67a93b99f2eba8610b704141ba732b6531489b4c7943511e6c87a5102c9ee

Observation 99fc8d07-6e1a-4bd6-8822-859d70d4a59b · outbound

This paper cites In: Findings of the Association for Computational Linguistics : EMNLP 2023.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Findings of the Association for Computational Linguistics : EMNLP 2023

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.891765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.629077Z digest=sha256:3d88d3dfb0a220238d4c8b5a9d93652a1be5c2dfad8c1aed560471ee1233f871

Observation 72f7c6a4-9958-4c41-9c95-c2c0e11f07c3 · outbound

This paper cites Advances in Neural Information Processing Systems, 36:36339--36348, 2023.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Advances in Neural Information Processing Systems, 36:36339--36348, 2023

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.877690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.633161Z digest=sha256:dc56ddf9de8ba13a6dcc82f371492b2bb01df029898d68af2ac4f8a1f40dda13

Observation f54ccd0f-0b60-4abf-8af9-22c97e0c8112 · outbound

This paper cites Advances in Neural Information Processing Systems, 36:8634--8652, 2023.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Advances in Neural Information Processing Systems, 36:8634--8652, 2023

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.863158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.637431Z digest=sha256:8176eb75d568542e12935d7ac1b22327a8a342ac1c73b7bbc4c1008d40556377

Observation 0397bb12-4e19-4e06-bba8-12cc17f987a7 · outbound

This paper cites Transactions on Machine Learning Research, 2022.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Transactions on Machine Learning Research, 2022

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.848074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.641348Z digest=sha256:5d12066211831e7f14ce1b78e0fa16f3a928b57d1f8097bce4725c6562b53e8b

Observation 28187a44-c65c-41d0-b90b-beedfe444b76 · outbound

This paper cites In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.833246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.645268Z digest=sha256:ae9558b6369fb48e565bdcce97e41451fe18de358a724e408b5d577260b5e170

Observation d5eb7096-0f1f-4c3b-9556-a3d823c411f3 · outbound

This paper cites In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.815785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.649418Z digest=sha256:c0c5eca8b139ba11f12510bee8a56877cbbfbbc15197bed28b45ec5457513dff

Observation d0b3157f-dbe0-4a18-a318-804509cf6337 · outbound

This paper cites Frontiers of Computer Science, 18(6):186357, 2024.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Frontiers of Computer Science, 18(6):186357, 2024

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.799379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.653578Z digest=sha256:aa8ed675577741a51a487ef0b60f67d1b420c81481e25d72bc5f00006df71ef6

Observation f5f62285-503c-4958-a20d-9a76c4462943 · outbound

This paper cites In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.785101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.657760Z digest=sha256:d19c11a9894633314d8cbe47f513dafbcc339ed81d9c2929e4353ffe6d884e4b

Observation 23dee0e2-5cbc-4010-9825-0edad27bd42c · outbound

This paper cites In: Proceedings of the ACM Web Conference 2022.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the ACM Web Conference 2022

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.770472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.661445Z digest=sha256:1272bf151ab2bec932dbd2c082312db405cf33c80304cad87f22c52c4278b7d6

Observation 1ac5fbb4-c497-4e6f-8725-b2bdfc257f11 · outbound

This paper cites In: Proceedings of the 31st International Conference on Computational Linguistics.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the 31st International Conference on Computational Linguistics

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.755866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.665112Z digest=sha256:cf4c7ba31c9b9198fb01270a93faa2f1233af2755bb99c5a476876c71994b7db

Observation b23d961f-42b3-429c-b2eb-22a5feccd106 · outbound

This paper cites Journal of Computers, 4(6):436--443, 2009.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Journal of Computers, 4(6):436--443, 2009

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.739776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:37:22.669178Z digest=sha256:4b0cf709efebd2d5b632ea473d4dd2a2acca6b27ab72a00bba56ace36d5ceb12

Observation e2d4c5a1-5af6-4328-9ac4-6fccc335d8c0 · outbound

This paper cites write newline.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction write newline

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T22:37:22.673134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:37:22.673134Z digest=sha256:5050c63cd245094bde9e73a93978d6e2b3296033f8d2066d46da382954cf26fd

Observation 8bde3363-6d0e-4460-ad55-0a33a5871e7a · outbound

This paper cites write newline.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction write newline

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T22:37:22.678439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:37:22.678439Z digest=sha256:b7d156793010745bb68f742c5c0270606bb89d968cd9b781ac9d7c5473150d8e

Pith citing papers

Observation 711c2df0-a307-4946-b6d4-09013f7ddf1b · inbound

AI-PAVE-Br: Leveraging Large Language Models for Enhanced Product Attribute Value Extraction through a Golden Set Approach cites this paper.

AI-PAVE-Br: Leveraging Large Language Models for Enhanced Product Attribute Value Extraction through a Golden Set Approach Self-Refinement Strategies for LLM-based Product Attribute Value Extraction

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:49:58.485643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-26T00:08:52.711205Z digest=sha256:af620823a7adcf8f5753b1e6402df781dbaef2bc71dd694d13c7826489e30ab7

Observation 55609727-35ae-4452-8679-0b478d0658a2 · inbound

Beyond Exact Match: How Evaluation Methodology Dominates Model Choice in LLM-Based Product Attribute Extraction cites this paper.

Beyond Exact Match: How Evaluation Methodology Dominates Model Choice in LLM-Based Product Attribute Extraction Self-Refinement Strategies for LLM-based Product Attribute Value Extraction

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T04:06:04.669396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:06:04.669396Z digest=sha256:efe58a5bf07d71a2376ce568026f0e3617c3944a44bd9ff8312e63b369eafe24