Pith. sign in

Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:32.968116Z digest=sha256:d600628aa8dc4604f96f3ea4358e2eea84e56fa9285fd1b13eac08e084f127f4

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:33.233410Z digest=sha256:474c8b5d4e5e0a0070f98c6a21d27361e61b42bb85d151ae6cb626c035d45cc1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:33.399295Z digest=sha256:78705adf62f9856102fa0b463d940c6ab3d57f5aa68b8608eb0d1dabe815ee76

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:33.548127Z digest=sha256:82e9c598fc50f0e1dace927a9fc6bdd703771da9d5d842debe5da49a52be01b4

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:fea17bc0d5cc81519f55204c0c52306dc4cad68a5de929e3e29b0ee2729dd20c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:33.967977Z digest=sha256:c3d217f1faca241634104093a8508cb8c8674b67a94507ea91678d2f186c322c

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=sha256:1b317a05276f177ddeb43ebc47b8da1f9159638b7fa439e71bc87b9ee914497d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:34.238086Z digest=sha256:42b059176f2c7372fd67303ce1cc69a632495b19b5c19530be60ed680045f8d6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:34.578581Z digest=sha256:493860bdb5c3204ed6ea1cf77660624ba2f4ac804fb6c72a4d291e989fa1782c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:35.034987Z digest=sha256:f340bdc2d24bb16fbff60ce1d77be2231905dd4d83c765d3421d24799b9b2bd9

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:35.163465Z digest=sha256:1152b4ae41bf3ca917aa16b96541e2a79f2ede86a88def63abf6ee7127d3213f

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:35.306102Z digest=sha256:c9e5dc3a2f761800513744a18172b4495d80598a8ac3221dc0332185a4a74bb2

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:35.567699Z digest=sha256:0cd67bb7247b15d54314bc17324fc8cf6b0bf7007c5c0e9d05c38524254a63a7

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:35.693336Z digest=sha256:4e60ec405b79e1ff5a3ed689c45eb7c2ae14b036f5d3de6c79eb0667b1f4171a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:35.841765Z digest=sha256:047738dcf20a1e06126c1d297321eb16afc40891cece99300d4e7717b6eed275

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:35.972183Z digest=sha256:0b42d62b009459ccc752cab2df5f7db25894e9f7e06c5fc82941f17d86246929

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:36.296447Z digest=sha256:734a06779ce5f8af0f0adcd7a55ad49d1a8b5a933f77cc8f98db1261a47fb878

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:36.465936Z digest=sha256:c9469f705813b3c2963ce739983a7fad9efb355255f258e37171a17f80af1537

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:36.639277Z digest=sha256:6ea14c00f54316cc46d84f9a9b38ab6095cb45739b62cda4f32b9ce3a3d9a74b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:36.803504Z digest=sha256:0109617c6570df4bac28e47068419d38a9397280a2bb944864a803604ad6a960

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:36.923906Z digest=sha256:1daaa977965e668898ba2525ab7cd8b2d4667e2d839705602fcbd041e4dfe208

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:37.067290Z digest=sha256:6e6a08c92b55f874099e8516ebe7ae2544087817475a1c44f0802a6a2b044f58

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:37.393395Z digest=sha256:97ee71cde3e331b5a0b6deecf8b0bbfc5620d873c6d82d5430e9b6fcb564a427

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:37.538083Z digest=sha256:a830f1939e5e33441691d23919acd08ee6b9cc9cd2b8eb9578765a57bf76ff17

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:37.781412Z digest=sha256:c4aed92a0dcdc14eff7d0fc1114ee31f96ce0160c709a1ae69013b68854127a3

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:37.993504Z digest=sha256:4a392d412c28f521b6f56750db88392fb9add23a5b8da673acd0f8ced5adbed2

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:38.124022Z digest=sha256:e3d0152446748a61debf11e3caaecc13cef0a7bb89b02425cb4b051c7d7b8345

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:38.217775Z digest=sha256:5a25c626a085ca053787ffe746ad51256bfa93fc486c89d9e12c76d5d44bd243

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:38.469173Z digest=sha256:f69a16b10938f7c6d4200c4113eb0584a4c3ee3bb0041103927954ad4363c75a

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:a2cd9bf4c06c224b99d2a8caa74fe04dc40035188a3bdeae97fbda9c17f5c636

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:38.675551Z digest=sha256:8de01905e802ca9a38fab59e37609ddcfb54919891f0463a93b3e69777007cd5

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:38.830858Z digest=sha256:456209373a5dc47fcd6315a8bb8b13ad96a63e9dac63675307907598e2e3cb71

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:38.937091Z digest=sha256:ea65c520e69ec9b04b3dbe76e6fd7324009f751d19c5365baef45986adf8bdaf

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:cf59f12654d71300fd234535fc91d11a1fa0614f9dd321e002dac6a9c68fd699

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:39.126976Z digest=sha256:655b92432c96986c8a86a438faa7f45e5053884a0278d0d21520cddd3384e01f

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:39.552402Z digest=sha256:897d7dee1d9b3474b73939b0e4d9e472b25c520bd421701c011c9347f7e80326

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:39.786412Z digest=sha256:8e3e1a4f869acdad7371eaaac1a7db30202df2fbf0ed016e0dd76aa18fadbe89

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:40.036636Z digest=sha256:88d8e8f6cc28ae6ff441c687a67bab867578bf3b161a1aaecbb93f622cd611d5

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:40.309345Z digest=sha256:581eb12f4fd8eb0135004b54ec97eea2e21d1116b26e2010456d8155f6220e08

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:40.500881Z digest=sha256:0a28d1cb8baeb1782f3e3830d4dbc23ff4b08baa01d3f0dc7e26d4e5adf408ba

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:40.586517Z digest=sha256:b586cfe1539ac89a683f7a110969424ee1d351f604c7064143345713273dab23

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:40.933041Z digest=sha256:ca1980a8a8bdc0eecc56f6960e98323e6b0d809df06c6a2186c2f1c4c7ef9b49

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:40.798397Z digest=sha256:47b1861effc80c7c898cb271a88600c4c94234f8b018d4b6a9173d538af260da

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:41.137265Z digest=sha256:bd24fad271e322fc582a32d3013cfe5d80389ad5e89e79288a0b79037cc2a483

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:41.032982Z digest=sha256:0542da9bd03ee81a5bf5c9f259e5564fd54a01fb1e705cb5c35a4a343c1dc70b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:41.396825Z digest=sha256:14a18dfc4503e430e07ed4febc8eaca64f964b0b950746c4d2d8aea4b9ff887f

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:41.236531Z digest=sha256:43eda876252eabb26279a59255ab02ffbad85ff25bb1196a9c8b0e469c66725e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:41.680564Z digest=sha256:b2403649b15ad6793c4b87935216cde2e388b77f53fa037b8fb00082a0927481

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:41.548797Z digest=sha256:10b4f0fca521e438d023cf7afa673bf4aa6dbb78025ead1aa57e361b2da2b4fd

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:41.804518Z digest=sha256:b5f4dcddeb2abe4fde57d22410e9925e3b282d4d0185c169c6c926ec65c93d35

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:41.916650Z digest=sha256:0676904c95bd6358c3a5cf7f7bfb10f652765d8b3d4742f39750c23c0f98e0d4

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:43:35.434517Z digest=sha256:561570d942bc0bad80fa16bdafff3209a6b405c2aa8de334271cb3217393a4bd

Pith citing papers

No inbound Pith citation observations are available.