Paper Citation Record · LEDGER

Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.08516.

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

pith.paper-citation-record.v1
2411.08516 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:36:52.843796Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T22:22:43.456184Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f12b278d-6154-4fa5-b958-50d999cba789 · inbound

Generating Negative Samples for Multi-Modal Recommendation cites this paper.

Generating Negative Samples for Multi-Modal Recommendation Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T14:36:52.843796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b291bf0e-5e3c-4444-a80c-da93f3c05e22 · inbound

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models cites this paper.

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T06:03:43.983044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28ef8c85-ff4b-46b7-bfc6-aa809a3b04da · inbound

Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation cites this paper.

Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:21:10.711991Z

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.

Observation 23e2c592-1539-466a-9e5d-48c9b6f17134 · inbound

V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization cites this paper.

V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:01:04.277987Z

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.

Observation cdd2f969-4284-4342-a1ed-a34b600ecd22 · inbound

ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring cites this paper.

ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T05:45:22.048112Z

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.

Observation 0e5e9e34-e8bf-45fd-aa19-6e022e4f18b3 · inbound

Position: How can Graphs Help Large Language Models? cites this paper.

Position: How can Graphs Help Large Language Models? Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding

Reference 106

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:10:43.051745Z

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.

Observation f2d71b90-c979-460b-a4cd-ef6bcfa15145 · inbound

Semantic Triplet Restoration: A Novel Protocol for Hierarchical Table Understanding in Large Language Models cites this paper.

Semantic Triplet Restoration: A Novel Protocol for Hierarchical Table Understanding in Large Language Models Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:22:43.458423Z

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.