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Paper Citation Record · LEDGER

TableReasoner: Advancing Table Reasoning Framework with Large Language Models

As of 22 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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T18:45:15.521030Z digest=sha256:ff7cd35b028ac2297957aee5b5229910a031beb3683baef834b83fa74bd4ffaa

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T18:45:15.654848Z digest=sha256:ac20d7746e84d8f848b1218f5b5f68306fae62d8cba47ebe6837c3e78d407ad7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T18:45:15.805848Z digest=sha256:7f6c32e6e34944b6978ee59a02b0210a3186e3be784d6959e9cda8f9c366dc93

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=sha256:7dee187a747447646bc980a1351654186d1665e49fa9e4749a73e1becda9b849

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T18:45:15.948832Z digest=sha256:ba4e015ec9c5e6e7430504f2c02012c570276a9df15c1c6f2abda4f7eaf64da6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T18:45:16.093389Z digest=sha256:d0c71e44f80e67a7a9e712159b5e8c47559239e0066140a649ea0ad592c955d0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T18:45:16.238426Z digest=sha256:a10669856c9d70cb583af00309ca4dffbaa29b1edb9ce0467cb3ba526dbd1f75

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T18:45:16.364586Z digest=sha256:0882675dd8f5492e4a4be687e78ad74db3f7fc400daa8a0973fba6fb5033cba7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T18:45:16.504752Z digest=sha256:3b69c7ef1e8545f3985254691c112b245bd9e4c63671ed7c2e9019df9bd81039

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T18:45:16.617865Z digest=sha256:0d63b1658a0529f5424c9817194498b77cb91cf6a17d030bec00ddbb6cad576d

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:f190b5952127e727d3623224b5f9e8322da2da06bbf656038026e7aac071173d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T18:45:15.113887Z digest=sha256:3dcc600fe7af5ac85e284f84a92ecd74ab8f50b78c64dc1ad5df91c373558e53

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:ea2402f6b41b6af64fab1e7879454c50e81f3c670e4fa7e1334759fbf63d7049

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T14:27:00.523125Z digest=sha256:5ba078aa33b5bf64dccbff0816fc8d5fad7e39c6d96a45fd5bb3d1d7a9440b7b

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T10:52:20.025188Z digest=sha256:77a88c5abebea0787a47e7da0104ba155d6c6a159b52b40916bde11eb4df9e42