Pith. sign in

Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:32.968116Z digest=sha256:2b1f139a8af89e789c2f02a6d18e46493b15aa54d988f5f39870cd3ae0d407c9

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=sha256:0023b92e0bd138078cdde7dcd2d666a22beabf575c4c09a372ede2f571247b8f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:33.233410Z digest=sha256:b18c172494a95b3f3119121f2c70686849209e6c13b85dbd3450ca553fe95614

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:33.399295Z digest=sha256:94b8aa02abf508b67cfc379d74acd3067e1958f0f259a7f85bbc00e84458b529

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:33.548127Z digest=sha256:f3b934c14ffbdf29d0c559146f6dadf6a38cd9eb3e2c332232348aef9934a36c

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:cecd2236b875501c943a06a277f9e398fcef54e4c81f537013b990cdde87e3f2

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=sha256:8902de1fe815d774b021ffe3dc0e4dd04dcb2c4ce772837bbc50a65e497b0d76

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:33.967977Z digest=sha256:c75edc315b357089c24584781b0deafb4a989c00f64809cc606e7a8a26899014

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:ccb558648f63b9e61ebbe6518f55618aef2868bfbf27788512f25845fdddc9d7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:34.238086Z digest=sha256:0043911844396e52fb69f5364f6da867f3e19ac9399839c16ed9ce40aa37c00a

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=sha256:2fc86b7cb9fbbff7697cbaa9cdf688f05667ee0f5739c2ae84059aa9f3ab252f

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:b589759eca6f03192d5df0a4523e51c8b54ae32fd7da45deaf7cd31e36efd6c1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:34.578581Z digest=sha256:75f418f745101e832a9e68bc0ceede1e976afbb824f1e7ab3b72f7c38a152070

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:edd34be13f8a2c6293b462e365c142cd3f8e5b9bc9e3381a3513244d11ae4cce

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:a488cd59f32f23267fda0a9437024dcbf6207a2f5ffd6edaac4afb5db9ba46a7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:35.034987Z digest=sha256:a72fd673e3aedb8127d13af08402dbb3559b26e8dcf8a502355ede1ee22ea973

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:35.163465Z digest=sha256:009280b4cdc1bb45ffc58d33ed96a0c5729d226ccdd180e1b041c818e2e143d1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:35.306102Z digest=sha256:29dc87ba3edd0629d7bb7bc50ec0e6250c831646df142714eded3f5abdc109d4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:35.567699Z digest=sha256:2242e30c05ab6bd75856716f3dfcd8ecb5aaaf8968527a42ae698681b9b77929

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:35.693336Z digest=sha256:2fc6e8bc397dbfbd135a0337e7303d975456811ca6576cfed8df04349e8c3751

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:35.841765Z digest=sha256:5ca8e08b3cf4d7d20398ac33f4ddc1975f076dbd6a1f12ee46bb7608324c8744

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:35.972183Z digest=sha256:e2ea64764d2f9a2251b173c7ea070eb022b229c133bb236c5f622d37b18745bd

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=sha256:2297c9a2397784fd332239d0525d4cd3b69b5dd92cafdc75d5be3dc96d9a6d50

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:36.296447Z digest=sha256:5a250b74d29b59e91a74af762b223c6426921f876b092314684cf8c498e69d99

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:36.465936Z digest=sha256:3bec92dea21e931d6638c22bb2443d58a0a05f448720d72968a82db67d6473c8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:36.639277Z digest=sha256:3dc45fee90782336bb57392a324177bbac962821a115a6da2fb78790b9d2d25d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:36.803504Z digest=sha256:a68a4b1d535ed9fa2c94fd5d7090b0a7546ffc307771a3a7f563525d3a84ea1d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:36.923906Z digest=sha256:264ba01512dc2dd9950354ac738d537b92fbd66fc7cfb88e1db4efac31e0421c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:37.067290Z digest=sha256:e68c293e1478e10b2a606c00a1ac7e1f088a126718ffd03212439cefe415fa1e

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:f644edeba4f484af3e68ec07f319bc750bef8c0cbbbf747be122c547edf9186c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:37.393395Z digest=sha256:fb498c8b48733e5636c9aaa455843c6d71290616ba501590a21615c5019e5473

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:37.538083Z digest=sha256:b508d2b180c5b92ae786cb9be3e190359a1577326895c0c2b5cc2603d1295c6d

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:ed5e057227466078a2bf762e33165a7d56922a7669e523d4f1e87fe33040b4be

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:37.781412Z digest=sha256:7626c3d68c8c8eb0334495050de156c5baf4ac7bdd4f398b25212dbbf14b47f7

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
unresolved
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:bc1348bfe3d1e9c5d1199b15206fb92b0447ec953b39323f97651d9cae084fa5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:37.993504Z digest=sha256:2e4fa6537f079309be15bcd184fbf62d0ba449db3680a0495896d6bf82beaa37

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:38.124022Z digest=sha256:35cf5a07687cb559ed6ca26beddeb539dbfd9659cbd6253e9d293246d9f4aabe

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:38.217775Z digest=sha256:31c3f6440832b2763f172cbffbeb98758bd05c701c669c7a1bae480c555d808d

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=sha256:0f6e954fa4304a467c4c06099f26b9ac930783d4e12cf47cc6c8a0ffd1b8c308

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:38.469173Z digest=sha256:6255171c1b61abe9f9c163f17b6c94d3e6c86ca8b015b15f94a66c0cf0b4597a

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=sha256:64e070b51d1ba5dc7e0fa18bc7ddc9e9b9fd5d62c3cd56b0211cc1de62c0955a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:38.675551Z digest=sha256:725f17c18c709a3b6d113e128607fc16743c68b78c6a540e7def5541e692cf75

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:38.830858Z digest=sha256:0c5c4aeeb937e8b591e3030025184e6514c6866f78a134d7148aa4edf4fd9b4d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:38.937091Z digest=sha256:1390b54cef7947a7749f39be074b087de3c275e81538d9ba22383044d771a57c

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:f6e9466c466e97f51052e6a4c67b487f8ac956c03113ce2d80ee578e5d50ab7d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:39.126976Z digest=sha256:c68929c94d5ff24d3fe76a0bfe509844951bbebbf134a3fe37b0507ecae80b72

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=sha256:36a6b666000e27c06f0525d51f828a0886e5cf0f634f2ec02f09fb8e53a10151

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=sha256:26827b478752aafa1930eaa4484c2ea62627c7b271f82b757aa742e4f596be53

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:bacd56d8616581c258b7c151801de7f01ae59b227362ee8503bfff0a2fa45dd5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:39.552402Z digest=sha256:8f5a75c7ecef3235ebbc2c073f29195d013c61508c51144e84a07795c86181c8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:39.786412Z digest=sha256:17fb685ba8cc46208c02cf35125815966068cf6718d165783ed645cecf5fc70a

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=sha256:91098bcb801437430b312a584b4ce155f89ac42026968552dd2cc548f7138ecb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:40.036636Z digest=sha256:cbfded17ff9c1f16e528e2b1f784ab7de7c67038765a859e687e96bae519497b

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=sha256:9691bec8f1483ec54d1d5447608fa28e005dd614fafb7d0777e4081649fa251a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:40.309345Z digest=sha256:55bc7dcfb9b57b4572104d736189b42aea3485bd27c46ea8bd22be42de31ff98

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:d5242021cf8f009536307764391ec2f193c03a3f520d719759e5da452a6fec57

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:40.500881Z digest=sha256:61ab1cf83f7b17125d7f4f62b30da24f84963d91d77aec5bb9948bbfe8171af9

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=sha256:27241e7c304050789680396420e6563d56b34ef11b086abb1414b2f338effeb5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:40.586517Z digest=sha256:d5359dddf50f759cbfbf4ba2390383aa756d880e4c33e4569479500e460dc790

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:40.933041Z digest=sha256:a3881b7c5852709745c961de7f13bc34d1b760f0425cca99751cf0b62f3d1fbe

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:40.798397Z digest=sha256:d26552d8f78733e787bdc8749e06bae056be565281fc94a27a84499c17bd1222

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:41.137265Z digest=sha256:c98747bbe4102e8bcc2e0adc857bffe45013e66606a4c18b7926cc73932c1dd7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:41.032982Z digest=sha256:b076e90326d336cec05c47da83858c9167f128a78194e9eeb30b70c113a09500

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:41.396825Z digest=sha256:2a1f42ca1a206af5fee9d99428dd1225d5d6cb7f7a716a034c301a5e23f080f6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:41.236531Z digest=sha256:efcfc4c570b054def5b7ea6627b4edb67c440e612e0c1b559858e8dd586433d1

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:ea7b71a2ac60d91c5a2a7ed6cdf400295242627cd93f243c89e9612667393a6f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:41.680564Z digest=sha256:2c895e44c9a63c963d1d7297f48c037ab2cdae2611d7fbca527c120e0d291bc6

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:dcded51f372662f94374cf2af103b10c566506f1b4d90ada91d31f71e415596f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:41.548797Z digest=sha256:f4f68ce771c316cf4d41fc76d23ca2260f7f059c95d1471587086ade8769b02f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:41.804518Z digest=sha256:96a868981bf1aab50d7e0b3d20e7d2c7abc4223b24c8b1ba2c802750439c4498

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:41.916650Z digest=sha256:7cf775208cad5a4bb4489e8a778dc11d4ce06e4eee23177ca0052c39ced3af82

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T12:43:35.434517Z digest=sha256:a249365fa572cb899b5ac27ebf546322157bb60df209da63e2052e249fa356cb

Pith citing papers

No inbound Pith citation observations are available.