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Paper Citation Record · LEDGER

TableReasoner: Advancing Table Reasoning Framework with Large Language Models

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 2 inbound Pith citation observations for arXiv:2507.08046.

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

pith.paper-citation-record.v1
2507.08046 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:45:16.617865Z

measured 15 of 15 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T14:27:00.523125Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:36:26.244718Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd3ad6b0-6759-45d1-9e58-077236649e15 · outbound

This paper cites an unresolved cited work.

TableReasoner: Advancing Table Reasoning Framework with Large Language Models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:45:18.020161Z

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=2026-08-06T18:45:15.521030Z digest=sha256:4558a5f4fc19cf1b35f58aa614e8427ccb3ef15017987d668ff2eb466591384a

Observation 8769a4d5-7a17-42d8-8c20-3cbde2f0f885 · outbound

This paper cites True" or.

TableReasoner: Advancing Table Reasoning Framework with Large Language Models True" or

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:45:17.915745Z

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=2026-08-06T18:45:15.654848Z digest=sha256:9cf3fff86e5c3d89bca7229e23d75a0ebd5289aed58583cdfabcd9e1c5ff7c8f

Observation 295ebfe6-0a05-48af-b987-80db73b8b3f9 · outbound

This paper cites answer": answer using information from the provided Table only. *.

TableReasoner: Advancing Table Reasoning Framework with Large Language Models answer": answer using information from the provided Table only. *

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:45:17.793843Z

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=2026-08-06T18:45:15.805848Z digest=sha256:94fa8c6e1bb039d9ea8a7b140997f248f454ea199dfc187300f03ffb7633b140

Observation 807960e5-d790-413d-9884-82afd18d9af8 · outbound

This paper cites Qwen2.5 Technical Report.

TableReasoner: Advancing Table Reasoning Framework with Large Language Models Qwen2.5 Technical Report

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T18:45:15.388978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:45:15.388978Z digest=sha256:79203646e0979a1a1e8f3a475126ee91007866958c2e57ea613c043e67bb1eae

Observation 8e89423d-abc6-4170-9184-9d06407583bc · outbound

This paper cites True" or.

TableReasoner: Advancing Table Reasoning Framework with Large Language Models True" or

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:45:17.654317Z

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=2026-08-06T18:45:15.948832Z digest=sha256:cd50647af134d3c72abaca460247460a9485d3dc153de8ff30cf7c4fe2b8e42e

Observation 4dba6f28-2601-4ff7-9539-b7706954d7e4 · outbound

This paper cites an unresolved cited work.

TableReasoner: Advancing Table Reasoning Framework with Large Language Models Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:45:17.540859Z

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=2026-08-06T18:45:16.093389Z digest=sha256:64f3df0eab8adb65b1b85e570a91edb758f94d69df739fb2cfbec595a34baed1

Observation 429352a8-1530-4f46-ad81-940c8041f450 · outbound

This paper cites "" | passenger | wealth($) | | ———— | ———— | | value1 | value2 |.

TableReasoner: Advancing Table Reasoning Framework with Large Language Models "" | passenger | wealth($) | | ———— | ———— | | value1 | value2 |

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:45:17.402179Z

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=2026-08-06T18:45:16.238426Z digest=sha256:51fa7a9a99ca7b18d44d01e006e4854a9ff98bf08a4d6a3c462249b1e2c06504

Observation 1cde664f-37f0-4b0f-8add-272184f06b49 · outbound

This paper cites Describe in detail the algorithm steps as much as possible, including Question analysis, table data format parsing method and code logic description.

TableReasoner: Advancing Table Reasoning Framework with Large Language Models Describe in detail the algorithm steps as much as possible, including Question analysis, table data format parsing method and code logic description

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:45:17.257426Z

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=2026-08-06T18:45:16.364586Z digest=sha256:0292a301c1ae150feb4e75cc1881ba5727292712e8ac10f23ebf37b86cbe8b6a

Observation b12bf220-6a4a-4a12-b30c-49d23964f650 · outbound

This paper cites The codes need to be concise and easy to understand, and if necessary, add comments for clarification.

TableReasoner: Advancing Table Reasoning Framework with Large Language Models The codes need to be concise and easy to understand, and if necessary, add comments for clarification

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:45:17.107733Z

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=2026-08-06T18:45:16.504752Z digest=sha256:80c374ab4c53903f69b94c17b49f258a35d0e428b4e4248cd08598a157c7bb12

Observation b23bc175-200f-4c0b-bfc1-b17e9bbcd585 · outbound

This paper cites code_thought.

TableReasoner: Advancing Table Reasoning Framework with Large Language Models code_thought

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:45:16.860779Z

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=2026-08-06T18:45:16.617865Z digest=sha256:2cbb9bde0bda3724830933b90c27e73e0a963e89928244c7b739dbe1348a45ad

Observation f1952fdd-6db6-427d-80f5-28c045734843 · outbound

This paper cites GPT-4 Technical Report.

TableReasoner: Advancing Table Reasoning Framework with Large Language Models GPT-4 Technical Report

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T18:45:15.013859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:45:15.013859Z digest=sha256:dea0d47a08f5f695a198f80b75bc55b06968968c474edaf3f43ffe2a1ecc0a4a

Observation 46eb4634-ad33-4987-83fe-28e1618d0966 · outbound

This paper cites In Proceedings of the 2024 Joint In- ternational Conference on Computational Linguis- tics, Language Resources and Evaluation (LREC- COLING 2024), pages 13471–13488, Torino, Italia.

TableReasoner: Advancing Table Reasoning Framework with Large Language Models In Proceedings of the 2024 Joint In- ternational Conference on Computational Linguis- tics, Language Resources and Evaluation (LREC- COLING 2024), pages 13471–13488, Torino, Italia

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:45:18.103712Z

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=2026-08-06T18:45:15.113887Z digest=sha256:8a80ebdd34835121f79927d58f80b4d9f8d890bc175aba2be7b07a032ef295c8

Observation 92d66b1a-2e23-41f4-b1cd-5cd8607b6a09 · outbound

This paper cites Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution.

TableReasoner: Advancing Table Reasoning Framework with Large Language Models Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T18:45:15.252647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:45:15.252647Z digest=sha256:7a2b81493eae9d2d78e7717604c66af6c13c61ff11d01f56b974f098ac2d9ed9

Pith citing papers

Observation 35c8aed2-f848-4f3f-b3f9-2196ec208829 · inbound

Resonant Context Anchoring: Decoupling Attention Routing and Signal Gain at Inference Time cites this paper.

Resonant Context Anchoring: Decoupling Attention Routing and Signal Gain at Inference Time TableReasoner: Advancing Table Reasoning Framework with Large Language Models

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:26:21.587275Z

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=arxiv_source observed=2026-06-28T14:27:00.523125Z digest=sha256:72fa99354e16d7423edafed84e4658281db5202bf1c9d85e363fae46ae21199e

Observation 00b360fa-fb5b-46e5-b9a5-9235ce732e0e · inbound

Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Contextual Orthogonalization cites this paper.

Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Contextual Orthogonalization TableReasoner: Advancing Table Reasoning Framework with Large Language Models

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:36:26.246227Z

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=arxiv_source observed=2026-06-28T10:52:20.025188Z digest=sha256:0ac588a9c21913873f8f4dc9bb7fa2cffe9cd23a379991e58da7ebd3e26eea24