Pith. sign in

Paper Citation Record · LEDGER

TableLlama: Towards Open Large Generalist Models for Tables

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2311.09206.

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

pith.paper-citation-record.v1
2311.09206 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:07:48.708833Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T06:44:42.002032Z

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 83d4261a-6aa6-4a68-a75a-00c2c67547a2 · inbound

LLaSA: Large Language and Structured Data Assistant cites this paper.

LLaSA: Large Language and Structured Data Assistant TableLlama: Towards Open Large Generalist Models for Tables

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T19:24:49.915308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:24:49.915308Z digest=sha256:ff5e4f9c6fcd3fec086cb35935e31e8b4d9937d43c2b1ddeb7404ed77d6502db

Observation 4b5b03ac-b7b0-4e9b-91c9-6097dbc6a5d1 · inbound

TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations cites this paper.

TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations TableLlama: Towards Open Large Generalist Models for Tables

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-12T12:38:28.643069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:38:28.643069Z digest=sha256:2a3e6960d18414c09dfe739ff6ba2f7681657b24b2909136d6789223a03027f0

Observation ae3e659c-b7f2-48e4-9418-5a408aeedaa2 · inbound

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering cites this paper.

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering TableLlama: Towards Open Large Generalist Models for Tables

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:45.266023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:09:45.266023Z digest=sha256:0fecbd5c1aebc8f951e346ca43fe9139b1aa024b8a3da70e9f826a7ddfe41c3c

Observation 72504242-fd59-48dc-b413-27bcdeffb8b7 · inbound

MiMoTable: A Multi-scale Spreadsheet Benchmark with Meta Operations for Table Reasoning cites this paper.

MiMoTable: A Multi-scale Spreadsheet Benchmark with Meta Operations for Table Reasoning TableLlama: Towards Open Large Generalist Models for Tables

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T14:43:37.123324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:43:37.123324Z digest=sha256:432fcd19f17957ea4048940c83f43f94153cb704a63cb3f979b0a9bbb6d205f6

Observation ea25b9e9-b962-4df6-9e99-a26262c6cb39 · inbound

Does Table Source Matter? Benchmarking and Improving Multimodal Scientific Table Understanding and Reasoning cites this paper.

Does Table Source Matter? Benchmarking and Improving Multimodal Scientific Table Understanding and Reasoning TableLlama: Towards Open Large Generalist Models for Tables

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T16:34:40.500491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:34:40.500491Z digest=sha256:8a03e39c90982ce06fbb7d77b3051086276fabc655ab94fa39f6d151bb539954

Observation 8de1f5a5-0bde-409e-8d32-00a5a2131afa · inbound

Hybrid Graphs for Table-and-Text based Question Answering using LLMs cites this paper.

Hybrid Graphs for Table-and-Text based Question Answering using LLMs TableLlama: Towards Open Large Generalist Models for Tables

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T04:36:46.714427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:36:46.714427Z digest=sha256:5306b2dcae0ea03806e9ad3c019f339d25e96b793b47d7b5c7cbfd7db4c051cb

Observation 6dcbba9b-b915-4b91-9379-d184a54de3b9 · inbound

GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data? cites this paper.

GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data? TableLlama: Towards Open Large Generalist Models for Tables

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T21:07:48.708833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:07:48.708833Z digest=sha256:c0880d2263126209623a2bde77e4d17c4da5c1eb8abf17999e5d5396d37dd22e

Observation c7796305-d4ec-482e-92d7-f7e95febf561 · inbound

TabReason: A Reinforcement Learning-Enhanced Reasoning LLM for Explainable Tabular Data Prediction cites this paper.

TabReason: A Reinforcement Learning-Enhanced Reasoning LLM for Explainable Tabular Data Prediction TableLlama: Towards Open Large Generalist Models for Tables

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:16.376705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:28:16.376705Z digest=sha256:eed45410e233392a9cc1924183b217519c6a9aba7ec617dd885f1cfbf0e80e71

Observation ad141ae5-dbb9-4295-85e7-493d5b365b42 · 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 TableLlama: Towards Open Large Generalist Models for Tables

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:47.373518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:47.373518Z digest=sha256:98ae8b09f5760fbac9ed9bdfdd81a312252040cb32e9986a58a7499f2baf787b

Observation aa30a7cb-ee4f-4474-9bfd-0978851cab4f · inbound

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space cites this paper.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space TableLlama: Towards Open Large Generalist Models for Tables

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T04:09:03.846206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:03.846206Z digest=sha256:6a7c6eed30991bbdf6008397a18fe34c225ff21ea51bdf4f732b7d2aae8b7bc5

Observation 7d7f51e5-05cc-4809-83e5-8c46378e393d · inbound

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding cites this paper.

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding TableLlama: Towards Open Large Generalist Models for Tables

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T16:22:50.917417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:22:50.917417Z digest=sha256:5d405a2821b492ac85ff0ea2275e54bdbcace5c6b4c3aa8c2eb1e127f69993fa

Observation 05af1fda-1a9d-4e76-8e14-9f3825fe5cf9 · inbound

Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification cites this paper.

Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification TableLlama: Towards Open Large Generalist Models for Tables

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T16:43:58.990079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:43:58.990079Z digest=sha256:fe8423f7b44db2bb7ce0ca2ec4599bb123245b50f959cc380200bb1d5b7ce5b1

Observation 51cc8d2e-7a3c-4f8f-ac50-9300177581cd · inbound

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning cites this paper.

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning TableLlama: Towards Open Large Generalist Models for Tables

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T23:56:52.651764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:56:52.651764Z digest=sha256:033eb91966606cbc791357c4491a2ca86c1b8df6e2e1210304fe64625bc21520

Observation a5d30e79-7479-4734-a003-b12f11b0aa57 · inbound

From Table to Cell: Attention for Better Reasoning with TABALIGN cites this paper.

From Table to Cell: Attention for Better Reasoning with TABALIGN TableLlama: Towards Open Large Generalist Models for Tables

Reference 77

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:33:27.325571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T01:31:03.738527Z digest=sha256:22d1fa50e8c1b1ddc8d8722a77334c3273add78e03e074748c749aa4e7c2b914

Observation adde83d6-5a71-4b01-ad4a-754054db219b · inbound

Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables cites this paper.

Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables TableLlama: Towards Open Large Generalist Models for Tables

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:44:42.004904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T06:43:31.886617Z digest=sha256:2e0fa188bc1cb1c4869badcc74f00b98a21c03bb5f740407a7feb33ff2a3b936