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Paper Citation Record · LEDGER

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering

As of 9 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2509.01312.

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

pith.paper-citation-record.v1
2509.01312 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:43:41.916650Z

measured 72 of 72 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

72 of 72 outbound references displayed

  • verified exact2
  • verified fuzzy37
  • unresolved24
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 444b94e2-9e6e-4037-aa92-84808da7ed6f · outbound

This paper cites A Survey on Table Question Answering: Recent Advances.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering A Survey on Table Question Answering: Recent Advances

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T12:43:44.604142Z

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=2026-08-05T12:43:32.968116Z digest=sha256:1a0fc12e10fef0dcc2143774f0ae395d3f0d630be5019eb72a3d016204d4774c

Observation c1e31208-1f60-4295-9cd5-d5097adc3107 · outbound

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

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:33.116130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:33.116130Z digest=sha256:b11f462e83d96442e81316c594e74efc78fb9e85c4e042702d1c02aad5a3eb3e

Observation 2fd88e7c-74d5-4b26-9af2-75bcd56416e7 · outbound

This paper cites Learn Beneficial Noise as Graph Augmentation.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Learn Beneficial Noise as Graph Augmentation

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T12:43:44.412810Z

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=2026-08-05T12:43:33.233410Z digest=sha256:72421a9a24f898f1c70546ca58b438aa959420d72556f618019243092b539507

Observation 31a9848c-3795-4983-92b1-8154d85fc931 · outbound

This paper cites Enhance vision-language alignment with noise.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Enhance vision-language alignment with noise

Reference 4

Resolution
verified exact
doi, observed 2026-08-05T12:43:42.466362Z

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=2026-08-05T12:43:33.399295Z digest=sha256:6a21a6cdf9eadda94c4ebe1c986d0ac11fa0b8333d6fa0143c805c593aee6ecb

Observation 393601e8-c6b6-402c-97aa-973613798f8f · outbound

This paper cites Available from: https://arxiv.org/abs/2408.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Available from: https://arxiv.org/abs/2408

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:49.803052Z

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=2026-08-05T12:43:33.548127Z digest=sha256:69175933cfbd5847ffd12afd0c6bcc167fce005fb449268750693402864fc456

Observation 74cc6eb5-7c47-4c48-9bbf-a2fbbb11d975 · outbound

This paper cites Variational Positive-incentive Noise: How Noise Benefits Models.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Variational Positive-incentive Noise: How Noise Benefits Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:33.667920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:33.667920Z digest=sha256:26f897cfb93fa0895ec4e97f1a925f79afe242719f0ae9e55a25b738911a01e3

Observation 11c5da2e-3674-4201-a0f1-2af4e2a2000b · outbound

This paper cites Positive-Incentive Noise.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Positive-Incentive Noise

Reference 7

Resolution
malformed identifier
no resolver link, observed 2026-08-05T12:43:33.834137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:33.834137Z digest=sha256:e56513671a71251654bf97a3a1cf5eb46d608db8177a1def1d92193f2a4e4d9a

Observation 3efa07de-00a9-475a-a811-41c629d5f215 · outbound

This paper cites TableLlama: Towards Open Large Generalist Mod- els for Tables.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering TableLlama: Towards Open Large Generalist Mod- els for Tables

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:49.692356Z

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=2026-08-05T12:43:33.967977Z digest=sha256:d89953de693f595a202ddf62e063b912c758609337d21b58c7dfed102df681a7

Observation 9981d427-935c-412d-a650-04b1794bcbc2 · outbound

This paper cites TableGPT2: A Large Multimodal Model with Tabular Data Integration.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:34.102906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:34.102906Z digest=sha256:83c7024ef4562d0199bdaa81c78ff5452e99c4fe9b5040266236618ec5b2d01f

Observation c5ce9775-630d-4a80-8fbe-952d7c91d078 · outbound

This paper cites StructLM: Towards Building Generalist Models for Structured Knowledge Grounding.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering StructLM: Towards Building Generalist Models for Structured Knowledge Grounding

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:49.561377Z

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=2026-08-05T12:43:34.238086Z digest=sha256:0f1bba3c16f0b297b18027367b34bf4f0118e9ceb8b3194161a790b8d3cc7957

Observation 7a1b86a7-68ed-4e17-a3a3-565b92f4e988 · outbound

This paper cites TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:34.361441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:34.361441Z digest=sha256:066e3188109a4504a4bd66aacd0de9bee3cddb4e1104a70eaa7f720fa7cc5576

Observation 34cf7270-96ac-4fec-91bc-64a38cff2ebc · outbound

This paper cites Table-R1: Region-based Reinforcement Learning for Table Understanding.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Table-R1: Region-based Reinforcement Learning for Table Understanding

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:34.493139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:34.493139Z digest=sha256:c047bfad30b30d39433eb52243f4877ba623ddc28f3fad9e1ba8153e9ede8901

Observation fa6ff01a-5583-4a2d-9eeb-b8807b9a83d3 · outbound

This paper cites Chain-of- Table: Evolving Tables in the Reasoning Chain for Table Understanding.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Chain-of- Table: Evolving Tables in the Reasoning Chain for Table Understanding

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:49.422494Z

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=2026-08-05T12:43:34.578581Z digest=sha256:97e171727b85369c4c45585f7a1bc5c85786725a9d559853904b3a1d8971bd5a

Observation abd20713-cca7-4423-be60-5e454d54db5a · outbound

This paper cites Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:34.737310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:34.737310Z digest=sha256:942d56bbd7a56441c5db65d8392645d06557978a1bb830a3d4f3e1758c4fa12d

Observation 4462ffdb-8d0a-4743-ae86-f0869380ab00 · outbound

This paper cites TableMaster: A Recipe to Advance Table Understanding with Language Models.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering TableMaster: A Recipe to Advance Table Understanding with Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:34.843684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:34.843684Z digest=sha256:be7159e8e68cb1a176b1fef28efc55d72f0eb5df754dfd2ef7c69c59bffffe6a

Observation 87d7e77e-bd4a-4dee-8aea-7da0002164c3 · outbound

This paper cites Binding Language Models in Symbolic Languages.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Binding Language Models in Symbolic Languages

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:49.295234Z

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=2026-08-05T12:43:35.034987Z digest=sha256:2f9221020503be810c727061938ea9da5f696492315615850c29284da79252a0

Observation 0f6783da-b42a-49c4-8857-ae6603557907 · outbound

This paper cites Lever: Learning to verify language-to-code generation with execution.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Lever: Learning to verify language-to-code generation with execution

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:49.177856Z

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=2026-08-05T12:43:35.163465Z digest=sha256:6de73f0a85fb82e007c8204b2d414e97d27e398f5f64c18fd7c262c3753aca41

Observation 8281d948-02ea-4b2f-9696-5326f9de2555 · outbound

This paper cites TableRAG: Million-Token Table Understanding with Language Models.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering TableRAG: Million-Token Table Understanding with Language Models

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:49.069848Z

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=2026-08-05T12:43:35.306102Z digest=sha256:fbc77162cf140db625452d9375b1d3e1514e26d35175f3bf24e6c1a4c4e1a598

Observation 162f594a-9d5c-4e5b-b829-d79e609410b7 · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Lost in the Middle: How Language Models Use Long Contexts

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:48.843607Z

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=2026-08-05T12:43:35.567699Z digest=sha256:dba4a8927f612b18f495c70a98872a4098c15e6e886d4093a29bb0ceaec02a81

Observation 45a0bd76-88b6-4379-808b-0e0aed1b3ea9 · outbound

This paper cites MAC-SQL: A Multi- Agent Collaborative Framework for Text-to-SQL.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering MAC-SQL: A Multi- Agent Collaborative Framework for Text-to-SQL

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:48.742160Z

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=2026-08-05T12:43:35.693336Z digest=sha256:938709c61915588415d5eb079c82d72945e239db254c7735d161e8dd971f2f3d

Observation 39faf162-cfaa-458b-b0e4-4027f7a47715 · outbound

This paper cites You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:48.634600Z

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=2026-08-05T12:43:35.841765Z digest=sha256:62f03d1787c574a9f42c54dfbd874b75a70a21732b240765c5a34701431773b0

Observation 0fd238d3-50e2-4ea4-9c8e-ff7bcb0d8f62 · outbound

This paper cites T5-SR: A Unified Seq-to- Seq Decoding Strategy for Semantic Parsing.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering T5-SR: A Unified Seq-to- Seq Decoding Strategy for Semantic Parsing

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:48.527296Z

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=2026-08-05T12:43:35.972183Z digest=sha256:e3fd48695514039a552625451d624be61051988fceebd9e6999e5e1daf42bfdf

Observation 0bf71adf-4990-46fc-ae0f-1947a88a9a29 · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:36.116212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:36.116212Z digest=sha256:c6c2078f2235806d10c3e808afab6721b1d1606e06d910eeaf18da5deb936aa5

Observation dd7be423-c133-40c2-bf68-e2abdda170a0 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering React: Synergizing reasoning and acting in language models

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:48.409819Z

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=2026-08-05T12:43:36.296447Z digest=sha256:8b53d071199e29191a6c82826ccf6ae26e48d75f67b8deda07f1fbcb21bbd5fe

Observation eeaacfe6-c581-4a05-85fb-836683aa2522 · outbound

This paper cites Neural Enquirer: Learning to Query Tables with Natural Language.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Neural Enquirer: Learning to Query Tables with Natural Language

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T12:43:43.973057Z

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=2026-08-05T12:43:36.465936Z digest=sha256:f127e60bc8e1db56980cc03d1c1e8e2337226da7b0573793f7859b0721e60011

Observation cf874df3-af0b-427a-b464-fdb43cfb318b · outbound

This paper cites Scalable Database-Driven KGs can help Text-to-SQL.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Scalable Database-Driven KGs can help Text-to-SQL

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:48.296177Z

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=2026-08-05T12:43:36.639277Z digest=sha256:44c263c17bed755b9e9c9bb689a86db56094c3a3c5b9c6a49487ae3804aa7c55

Observation 9bc4b2f3-2eaf-4486-93fd-161137808b8c · outbound

This paper cites UCS-SQL: Uniting Content and Structure for Enhanced Semantic Bridging In Text-to- SQL.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering UCS-SQL: Uniting Content and Structure for Enhanced Semantic Bridging In Text-to- SQL

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:48.166576Z

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=2026-08-05T12:43:36.803504Z digest=sha256:73e264e7dade256adad1351f81fe3b90c4a0e6ecad7f2e53299e9dd3c93e68cf

Observation 18487014-3442-4fd8-930d-10ce502b7811 · outbound

This paper cites MR-SQL: Multi-Level Retrieval Enhances Inference for LLM in Text-to-SQL.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering MR-SQL: Multi-Level Retrieval Enhances Inference for LLM in Text-to-SQL

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:48.036767Z

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=2026-08-05T12:43:36.923906Z digest=sha256:d8279473e50e21e487974987491b7bb35189f815534e6450b0e38859366c41b2

Observation c01c5686-1a14-467f-9c4b-82c826d8c955 · outbound

This paper cites LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:47.900316Z

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=2026-08-05T12:43:37.067290Z digest=sha256:f4da783cd5dbebed0b325d3e6521c50887e514f1e769edd1b677cad319630c44

Observation 6d1a123f-90e3-4a52-bbb9-aebd4b3dbb45 · outbound

This paper cites Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:37.243730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:37.243730Z digest=sha256:b5f7414b99b67c26b40683cd818fc42aa90afbedb96b2fe759de92e745ecb9f4

Observation ab5e4bc9-fdf1-408c-87e4-ff548512adb9 · outbound

This paper cites Available from: https://arxiv.org/abs/2407.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Available from: https://arxiv.org/abs/2407

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:47.754322Z

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=2026-08-05T12:43:37.393395Z digest=sha256:f83d0ebe6a064b447e563599a566a63d220ac56a45cb76b1587496191b7b13c8

Observation 5ec8ee35-a30e-4ffb-81c0-582ef8f080d3 · outbound

This paper cites Sentence Segmentation and Punctuation for Ancient Books Based on Supervised In-context Training.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Sentence Segmentation and Punctuation for Ancient Books Based on Supervised In-context Training

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:47.614623Z

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=2026-08-05T12:43:37.538083Z digest=sha256:ad9b13f494ae45c62f9355f77315b89ae6cc560b8ef20178fd382391762bee9f

Observation bc0831a8-fce4-46a0-bf57-a0afd69bcfeb · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:37.678369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:37.678369Z digest=sha256:78878aaa315c99fbf4c1fa35e1589a8592dc141303ed447df3bf9d5e47082481

Observation 375c79ac-834c-4811-a322-4337684ca39e · outbound

This paper cites Lemur: Log parsing with entropy sampling and chain-of-thought merging.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Lemur: Log parsing with entropy sampling and chain-of-thought merging

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:47.479987Z

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=2026-08-05T12:43:37.781412Z digest=sha256:daca6bc73b6cbbaeff6b1b0d4c5c52b4ef01c8f9e3634b4ee0f5f4eeb19cef73

Observation 3ba6f8ef-6558-45a5-945f-59b9bc053715 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 35

Resolution
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no resolver link, observed 2026-08-05T12:43:37.888905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:37.888905Z digest=sha256:f791c6af01e16419c3eff440d15f702e1cf9864ed150a0dc667081a5afe2c9ef

Observation 56e3640a-3f2c-42f5-a03c-175430c5c0c5 · outbound

This paper cites icsBERTs: Optimizing Pre-trained Language Models in Intelligent Customer Service.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering icsBERTs: Optimizing Pre-trained Language Models in Intelligent Customer Service

Reference 36

Resolution
verified exact
doi, observed 2026-08-05T12:43:42.250478Z

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=2026-08-05T12:43:37.993504Z digest=sha256:767306b9ac5c862b4ada402b51af2bb42edbf6ef7d90eed51e8d009036d4ed8c

Observation 415da0ab-1a60-4c28-8fea-b8ee95ece6c5 · outbound

This paper cites icsPLMs: Exploring Pre-trained Language Mod- els in Intelligent Customer Service (Student Abstract).

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering icsPLMs: Exploring Pre-trained Language Mod- els in Intelligent Customer Service (Student Abstract)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:47.341213Z

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=2026-08-05T12:43:38.124022Z digest=sha256:4cddd8b8b62294ca43f24bb43928a2104e9ac61536dbba6c32c83c36f246c4b5

Observation 37b45cfb-b82e-4955-a526-62e9a34395e2 · outbound

This paper cites Sentiment Analysis Technologies in AliMe - An Intelligent Assistant for E-commerce.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Sentiment Analysis Technologies in AliMe - An Intelligent Assistant for E-commerce

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:47.178571Z

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=2026-08-05T12:43:38.217775Z digest=sha256:f3457e3478a5c36985cbd694a4313cdfb439bc2355596103b02a1e3a46229149

Observation 1212b545-ede9-4d77-a1a0-77cd34631273 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering LLaMA: Open and Efficient Foundation Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:38.325995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:38.325995Z digest=sha256:f887e237cd93884ff0cf5dcb906533f24ff32182413e274e945181d946769d3d

Observation 77b381e8-0018-4080-8cde-eaf515687316 · outbound

This paper cites StructLM: Towards Building Generalist Models for Structured Knowledge Grounding.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering StructLM: Towards Building Generalist Models for Structured Knowledge Grounding

Reference 40

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T12:43:43.631400Z

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=2026-08-05T12:43:38.469173Z digest=sha256:f5ebd0db3bb3b080d989cc9064b80e03edc32dc1d6a09209e02801f28b4db1c2

Observation 9c736e01-ac00-42bc-9cdf-9ad5599aa88c · outbound

This paper cites OpenTab: Advancing Large Language Models as Open-domain Table Reasoners.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering OpenTab: Advancing Large Language Models as Open-domain Table Reasoners

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:38.569990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:38.569990Z digest=sha256:cf3d7b3d5f47c55e8daf9a60971d11b3095d073d05f6d2c7ae029ea6bce93337

Observation 7d65e42c-3feb-4e38-a651-f76853e5aae9 · outbound

This paper cites Ai flow at the network edge.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Ai flow at the network edge

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:47.051757Z

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=2026-08-05T12:43:38.675551Z digest=sha256:21d7b4e294b8811ef53a48cf5d632affcde6f05d23838c7590e51d56838fdb1e

Observation 2e675167-3da6-4c69-9ca7-c9643a90c499 · outbound

This paper cites AI Flow: Perspectives, Scenarios, and Approaches.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering AI Flow: Perspectives, Scenarios, and Approaches

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:46.908124Z

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=2026-08-05T12:43:38.830858Z digest=sha256:a8d0e37f27fd28dc715ede9669f4be6ef933c008294b1dfd37b311aef5a994a1

Observation c1ce7141-a574-4740-b341-c3e65c985562 · outbound

This paper cites Question Answering over Tabular Data with DataBench: A Large-Scale Empir- ical Evaluation of LLMs.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Question Answering over Tabular Data with DataBench: A Large-Scale Empir- ical Evaluation of LLMs

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:46.751462Z

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=2026-08-05T12:43:38.937091Z digest=sha256:1befcdd40753871163a7a54103270b8178940936e8c5b9f8b3c37f7f54066232

Observation cd4d1eb0-2b8a-48ec-9769-3e2d4f85aee9 · outbound

This paper cites TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:39.000019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:39.000019Z digest=sha256:12628c269a5dc00f0d402e4641ea8131ea37a239119fb955531df0b5278eeb37

Observation 461c4c30-c2df-4174-b71b-98a478b4422e · outbound

This paper cites Compositional Semantic Parsing on Semi-Structured Tables.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Compositional Semantic Parsing on Semi-Structured Tables

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:46.616494Z

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=2026-08-05T12:43:39.126976Z digest=sha256:33544cb8094633d32c4f461c822f238edd220ecc205a9f53619e8598191d2e8e

Observation 6d4f39b8-0553-4ffa-8951-fa82d1b7ec10 · outbound

This paper cites Qwen3 Technical Report.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Qwen3 Technical Report

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:39.248582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:39.248582Z digest=sha256:b704edf3c3a76ed563b51aa17e5ed95f6ad527a0b913284c37769374594dc2a9

Observation e2616570-bf25-4254-becc-562620325522 · outbound

This paper cites Qwen2.5 Technical Report.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Qwen2.5 Technical Report

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:39.319782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:39.319782Z digest=sha256:2adf0bbc44fdaf151d07359fe27dbc45e3934447548fb27e6c01e25187f43b55

Observation 4cfb79a6-b83e-4ba0-89f6-c46bb73165f3 · outbound

This paper cites The Llama 3 Herd of Models.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering The Llama 3 Herd of Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:39.444215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:39.444215Z digest=sha256:fce97264b7a6fb1238414d2e8d5a9cab4e97e2b1ea5c7bb9d1c5d9133387cbb6

Observation b8c3a783-bea9-4b7d-9d32-531740de2986 · outbound

This paper cites Available from: https://qwenlm.github.io/blog/qwq-32b/.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Available from: https://qwenlm.github.io/blog/qwq-32b/

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:46.486571Z

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=2026-08-05T12:43:39.552402Z digest=sha256:5d3f8bfa745afbf045c52260329debb0c2a550d6c1d4608f17e2b09e1370150f

Observation 81d9acb0-2695-4ed0-95e5-ed8bb9b6b7bb · outbound

This paper cites TeleChat: An Open- source Billingual Large Language Model.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering TeleChat: An Open- source Billingual Large Language Model

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:46.335978Z

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=2026-08-05T12:43:39.786412Z digest=sha256:f12993593836188d09f566b254a645fd7a479733baf6bd423e4d3c41430ec902

Observation 9d0dd040-1588-4c18-a6ff-4cd658c82b5e · outbound

This paper cites Tele-FLM Technical Report.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Tele-FLM Technical Report

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:39.891516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:39.891516Z digest=sha256:4ad4a0277564c8b18cd5383633c9adb50a77d257b7d6417c25d3019a396fa30b

Observation e98a41c0-5624-437e-b312-d37042b9decc · outbound

This paper cites TeleChat: An Open- source Billingual Large Language Model.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering TeleChat: An Open- source Billingual Large Language Model

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:46.209862Z

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=2026-08-05T12:43:40.036636Z digest=sha256:af0c03ea6e61aab07202a2b8e24c7efa0d24a8e8fb413faa0f172d802feadb70

Observation 80d22d2f-6bb3-4290-9ea0-35cfe37c9514 · outbound

This paper cites TeleChat Technical Report.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering TeleChat Technical Report

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:40.174698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:40.174698Z digest=sha256:00bf8ef3340e06126624beca8f9c99d61be40416ed69b6972ba620aa8238dacd

Observation 526062f2-2ea2-4955-bd47-f4bf5b627556 · outbound

This paper cites Available from: https://arxiv.org/abs/2507.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Available from: https://arxiv.org/abs/2507

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:46.091693Z

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=2026-08-05T12:43:40.309345Z digest=sha256:7809f1ebe5e813091cdc99d6fabbf956c8382cc7da2232c828cd61f1be2956b2

Observation 89d84351-25f7-4b67-af9f-559c7675658c · outbound

This paper cites PoTable: Towards Systematic Thinking via Plan-then-Execute Stage Reasoning on Tables.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering PoTable: Towards Systematic Thinking via Plan-then-Execute Stage Reasoning on Tables

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:40.431799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:40.431799Z digest=sha256:947247b4828a39dbec4f7d4d243d6e9025db77e308b753272e6b7ffa1c27295b

Observation 3d048681-0300-4be4-a73d-bf6635454320 · outbound

This paper cites TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:45.942901Z

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=2026-08-05T12:43:40.500881Z digest=sha256:f4515d1931e6346f8e1668b73c9d93a654b542eab619dd1814779c2f2f8451c2

Observation 1f7f64c7-19f9-43aa-bb7e-13628e1592b3 · outbound

This paper cites Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:40.693458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:40.693458Z digest=sha256:bcd6143bd41efcddce811e913c9643ba4d15f60ac17ce198c44f5e9935ee62eb

Observation 4c569aec-5f3b-4360-8722-f33c4fe9f3f0 · outbound

This paper cites 5725–5737.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering 5725–5737

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:45.784167Z

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=2026-08-05T12:43:40.586517Z digest=sha256:59bf32e9d96c5af93b3a9ab1fb99b730d57285d9f91a148f4b75947718691275

Observation 16156e27-35b2-4681-919e-6fe78e5e4209 · outbound

This paper cites Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:45.474066Z

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=2026-08-05T12:43:40.933041Z digest=sha256:99ae06b710c1e6eb50a6307bb69457f8622d9d7e23f0cd15bdfbeb20a6a8dc7d

Observation 9a342a26-fee0-4ce6-9f03-ea56f149794d · outbound

This paper cites A Survey of Table Reasoning with Large Language Models.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering A Survey of Table Reasoning with Large Language Models

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:45.638170Z

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=2026-08-05T12:43:40.798397Z digest=sha256:b3f4bd3d74f4f9899a44c406c96f61fd391e74f23b1e07a1bacdc1b58d18043c

Observation 9aa82dae-471f-4a3a-9687-9eed9772150a · outbound

This paper cites TaPERA: Enhancing Faithfulness and Inter- pretability in Long-Form Table QA by Content Planning and Execution-based Reasoning.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering TaPERA: Enhancing Faithfulness and Inter- pretability in Long-Form Table QA by Content Planning and Execution-based Reasoning

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:45.196039Z

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=2026-08-05T12:43:41.137265Z digest=sha256:a5bf8052f85cf813dad2453090291dadfdc3309645001488f1fd0fa7dcf10ec0

Observation 5955afa0-bf24-4729-9277-e8191c479557 · outbound

This paper cites TeleAI at SemEval-2025 Task 8: Advancing Table Reasoning Framework with Large Language Models.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering TeleAI at SemEval-2025 Task 8: Advancing Table Reasoning Framework with Large Language Models

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:45.345365Z

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=2026-08-05T12:43:41.032982Z digest=sha256:765a7ee79adb6bdcc6f0a18e8f610240dcbacbbe44f37a92ae51c7b15eaef174

Observation b659b081-51fe-439e-b691-4b0b280c7071 · outbound

This paper cites LLMSR@XLLM25: A Language Model-Based Pipeline for Structured Reasoning Data Construction.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering LLMSR@XLLM25: A Language Model-Based Pipeline for Structured Reasoning Data Construction

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:44.870531Z

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=2026-08-05T12:43:41.396825Z digest=sha256:1f153311ddab40768111d17ae83ac2a03e841840edf097864171bbdc6e8314b5

Observation 032769b0-4a32-47eb-bd40-d910d60eb6a4 · outbound

This paper cites an unresolved cited work.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-05T12:43:45.022441Z

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=2026-08-05T12:43:41.236531Z digest=sha256:e643c4dbcde786475e53cacfcc231f1d0fc788bff259da82bbd4dca02b9f6aaa

Observation e5dc702a-3c89-47f7-aecb-f9ddc78a152a · outbound

This paper cites Enhancing math reasoning ability of large language models via computation logic graphs.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Enhancing math reasoning ability of large language models via computation logic graphs

Reference 67

Resolution
malformed identifier
no resolver link, observed 2026-08-05T12:43:41.281048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:41.281048Z digest=sha256:822ea681a5bbacd319554fe560034015f7bd6ee57937e69b1ae923db78f8d557

Observation 9b7730f9-6481-413b-acf7-efb731ca50cc · outbound

This paper cites Human Carrying Status in Visual Surveillance.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Human Carrying Status in Visual Surveillance

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:43:44.762092Z

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=2026-08-05T12:43:41.680564Z digest=sha256:b57fbf42389877d163237c943c44216fe8e6e921e91d7d143dc9369c4a253e58

Observation 6e237086-93aa-42b9-a207-e5196992fb36 · outbound

This paper cites Deep neural networks with Elastic Rectified Linear Units for object recognition.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Deep neural networks with Elastic Rectified Linear Units for object recognition

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:41.488583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:41.488583Z digest=sha256:9aa38b9a6d9e3d0d128a740f6b7984db1483c382bfc296a2b5e848686baedbd7

Observation e22d1ee4-9058-4245-8b1c-1cede839b635 · outbound

This paper cites Learning to Rank for Blind Image Quality Assessment.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Learning to Rank for Blind Image Quality Assessment

Reference 70

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T12:43:43.168556Z

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=2026-08-05T12:43:41.548797Z digest=sha256:0d26ad34451c3036f71c95621e8ba7992279d0d602b16d79ce69e342b79e499e

Observation 45d273e4-4f69-43cc-a793-7fa27b489aa4 · outbound

This paper cites Two-Stage Learning to Pre- dict Human Eye Fixations via SDAEs.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Two-Stage Learning to Pre- dict Human Eye Fixations via SDAEs

Reference 72

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T12:43:42.987892Z

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=2026-08-05T12:43:41.804518Z digest=sha256:84e12d72930105280c7eab17dd6d5ac5cf9a49738d555ecaad5b1fb59a2ce16c

Observation 21e4a8c6-09b8-48fc-b74b-8796a486cc3b · outbound

This paper cites Bayesian Tensor Approach for 3-D Face Modeling.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Bayesian Tensor Approach for 3-D Face Modeling

Reference 73

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T12:43:42.720456Z

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=2026-08-05T12:43:41.916650Z digest=sha256:488880dd332d87153cefb5af92ccc6f4cc814723186d27c56b03e8e2dbd9b6ed

Observation c704bbff-00be-4d8a-b769-362a84ca8ff1 · outbound

This paper cites an unresolved cited work.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-05T12:43:48.956249Z

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=2026-08-05T12:43:35.434517Z digest=sha256:0ef67a452c2257e6f9a06695f082b36cf11bc997601dab40db39ed39cb3d6102

Pith citing papers

No inbound Pith citation observations are available.