Paper Citation Record · LEDGER

What to Keep and What to Drop: Adaptive Table Filtering Framework

As of 14 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.23463.

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

pith.paper-citation-record.v1
2506.23463 v3

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:47:41.945165Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

33 of 33 outbound references displayed

verified exact2
verified fuzzy14
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41133cf5-a998-46af-a9dc-5c15f8926e05 · outbound

This paper cites A theory of learning from different domains.

What to Keep and What to Drop: Adaptive Table Filtering Framework A theory of learning from different domains

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:45.414434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 656d6d4b-cfe0-4730-82bc-14b22231903f · outbound

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

What to Keep and What to Drop: Adaptive Table Filtering Framework TableRAG: Million-Token Table Understanding with Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:39.398888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dadb6d29-3762-4a4e-8fed-a1f5454536d9 · outbound

This paper cites Tabfact: A large-scale dataset for table-based fact verification.

What to Keep and What to Drop: Adaptive Table Filtering Framework Tabfact: A large-scale dataset for table-based fact verification

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:45.262479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 447befda-3aa2-4739-90ce-dd4fddfad51a · outbound

This paper cites Binder: Binding language models in symbolic languages.

What to Keep and What to Drop: Adaptive Table Filtering Framework Binder: Binding language models in symbolic languages

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:45.085824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7537a1f6-847d-45b4-9ffe-2bc6aa6569db · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

What to Keep and What to Drop: Adaptive Table Filtering Framework BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:39.718567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b36c6c50-6c87-42b1-b3f3-639133d677ab · outbound

This paper cites Mate: Multi-view attention for table transformers.

What to Keep and What to Drop: Adaptive Table Filtering Framework Mate: Multi-view attention for table transformers

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:44.876883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 72cc219d-957f-41f0-ae88-1547ea975bb1 · outbound

This paper cites Llm chain ensembles for scalable and accurate data annotation.

What to Keep and What to Drop: Adaptive Table Filtering Framework Llm chain ensembles for scalable and accurate data annotation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:39.882181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e01e0f4c-ed1e-4315-97a2-d644ffe07b87 · outbound

This paper cites Blendsql: A scalable dialect for unifying hybrid qa in relational algebra, 2024.

What to Keep and What to Drop: Adaptive Table Filtering Framework Blendsql: A scalable dialect for unifying hybrid qa in relational algebra, 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:44.695294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 10b25185-250c-43e4-bf72-57e0fefbaea2 · outbound

This paper cites Nonlinear 1-Bit Precoding for Massive MU-MIMO with Higher-Order Modulation.

What to Keep and What to Drop: Adaptive Table Filtering Framework Nonlinear 1-Bit Precoding for Massive MU-MIMO with Higher-Order Modulation

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T21:47:42.641521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 71f489e6-271b-41dd-bcb7-d73bc1503d47 · outbound

This paper cites Tapas: Weakly supervised table parsing via pre-training.

What to Keep and What to Drop: Adaptive Table Filtering Framework Tapas: Weakly supervised table parsing via pre-training

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:44.518440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 893ea451-9990-4044-9ce4-f6b43f98f64d · outbound

This paper cites An Introduction to Statistical Learning.

What to Keep and What to Drop: Adaptive Table Filtering Framework An Introduction to Statistical Learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:44.305769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f263909e-ded6-4e5c-af04-dcc0cf4e3e62 · outbound

This paper cites A statistical interpretation of term specificity and its application in retrieval.

What to Keep and What to Drop: Adaptive Table Filtering Framework A statistical interpretation of term specificity and its application in retrieval

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:44.055818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7fa51d79-7ae3-4ce1-9dfe-bbb0a743e377 · outbound

This paper cites Ait-qa: Question answering dataset over complex tables in the airline industry, 2021.

What to Keep and What to Drop: Adaptive Table Filtering Framework Ait-qa: Question answering dataset over complex tables in the airline industry, 2021

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:43.797142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af9c054d-6b21-4ece-ad49-5339ec924b39 · outbound

This paper cites Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Table.

What to Keep and What to Drop: Adaptive Table Filtering Framework Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Table

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:40.497324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a9963f-7d82-499f-9c13-ca39e81ab44c · outbound

This paper cites Open-wikitable: Dataset for odqa with complex reasoning over table.

What to Keep and What to Drop: Adaptive Table Filtering Framework Open-wikitable: Dataset for odqa with complex reasoning over table

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:43.565032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 03c69015-aef7-4f72-a7be-d38ab1c05e1b · outbound

This paper cites BART : Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension.

What to Keep and What to Drop: Adaptive Table Filtering Framework BART : Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:40.647213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17ba75ed-0d45-4710-a91e-778e22250caf · outbound

This paper cites TAPEX: Table Pre-training via Learning a Neural SQL Executor.

What to Keep and What to Drop: Adaptive Table Filtering Framework TAPEX: Table Pre-training via Learning a Neural SQL Executor

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:40.700778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7fcb26e-3fe5-40f1-9a46-b2105a81bbf1 · outbound

This paper cites Interpretable LLM-based Table Question Answering.

What to Keep and What to Drop: Adaptive Table Filtering Framework Interpretable LLM-based Table Question Answering

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:40.740194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ad89bb1-49d9-4a06-8bcc-274cd16a2010 · outbound

This paper cites Gpt-4o: Openai’s new multimodal model.

What to Keep and What to Drop: Adaptive Table Filtering Framework Gpt-4o: Openai’s new multimodal model

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:43.330093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1dce4282-0213-4034-8a62-ada621ca2b01 · outbound

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

What to Keep and What to Drop: Adaptive Table Filtering Framework Compositional Semantic Parsing on Semi-Structured Tables

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:40.900097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ea326b3-c9aa-4852-b3d5-f11059ce4a48 · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks.

What to Keep and What to Drop: Adaptive Table Filtering Framework Sentence-bert: Sentence embeddings using siamese bert-networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:43.091250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2a478b10-917d-475e-8cad-6647999017ff · outbound

This paper cites Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval.

What to Keep and What to Drop: Adaptive Table Filtering Framework Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:42.974116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5986dc10-b587-44c8-8d4e-a33162f9f12f · outbound

This paper cites Silhouettes: a graphical aid to the interpretation and validation of cluster analysis.

What to Keep and What to Drop: Adaptive Table Filtering Framework Silhouettes: a graphical aid to the interpretation and validation of cluster analysis

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:41.145950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7171894c-48dd-44be-9d30-fc18208e32e7 · outbound

This paper cites Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization.

What to Keep and What to Drop: Adaptive Table Filtering Framework Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:47:42.412179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a3b24bf7-cfd6-4ec6-b9fd-7c9be1181e7c · outbound

This paper cites Attention is all you need.

What to Keep and What to Drop: Adaptive Table Filtering Framework Attention is all you need

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:41.315064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9e38d71-a5ab-4758-a627-5636bbc4e110 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

What to Keep and What to Drop: Adaptive Table Filtering Framework Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:41.390911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7fa95e3-e1db-4e51-910a-f9a5d9995adf · outbound

This paper cites an unresolved cited work.

What to Keep and What to Drop: Adaptive Table Filtering Framework Unresolved cited work

Reference 27

Resolution: verified exact; doi, observed 2026-08-06T21:47:42.140936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eb3de599-ef81-48f0-9a17-59c22f1b6bf4 · outbound

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

What to Keep and What to Drop: Adaptive Table Filtering Framework Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:41.544697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a987729e-b422-4dc5-9248-56f884528ec2 · outbound

This paper cites Protrix: Planning and reasoning over tables with sentence context.

What to Keep and What to Drop: Adaptive Table Filtering Framework Protrix: Planning and reasoning over tables with sentence context

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:42.889510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f4dccc7d-63ca-4b1d-9ddb-dcc61a19ec30 · outbound

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

What to Keep and What to Drop: Adaptive Table Filtering Framework Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:41.706145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6755169-532d-4b14-9fe6-87261a9c2f75 · outbound

This paper cites ALTER : Augmentation for large-table-based reasoning.

What to Keep and What to Drop: Adaptive Table Filtering Framework ALTER : Augmentation for large-table-based reasoning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:41.781127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c3e16a0-1208-4a1c-bb18-a4e185bf1e06 · outbound

This paper cites ReAcTable: Enhancing ReAct for Table Question Answering.

What to Keep and What to Drop: Adaptive Table Filtering Framework ReAcTable: Enhancing ReAct for Table Question Answering

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:41.852104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79cd05e6-0282-4482-b3b5-96963c6e5782 · outbound

This paper cites TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance.

What to Keep and What to Drop: Adaptive Table Filtering Framework TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:41.945165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.