Pith. sign in

Paper Citation Record · LEDGER

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps

As of 9 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2507.12981.

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

pith.paper-citation-record.v1
2507.12981 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:36:53.375956Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

  • verified exact4
  • verified fuzzy4
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2bfaea9-73a3-4720-92ee-33b100f1106e · outbound

This paper cites an unresolved cited work.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T16:36:51.348848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:51.348848Z digest=sha256:f14c32bb58e4cfde7d1161896c0cf926e454a94d9629bceccd63fedad0f0a4ab

Observation 5423ce69-f3da-40c4-b403-60a06c76d200 · outbound

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

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T16:36:51.385760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:51.385760Z digest=sha256:c35922a1132f5d5f0cdc418b5d8d8065f561e745b3df29f245976bf0cc4f754b

Observation fede7783-7f26-44f3-bb19-7daf758656f4 · outbound

This paper cites Hormazabal-Lagos, A.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Hormazabal-Lagos, A

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:36:54.748892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:36:51.570963Z digest=sha256:b42153e7beeadb99299a79de2dda523d22a27987b7e91d7d817a20394f9af433

Observation e9d65f99-6fa9-41c3-9d35-05dbd28da917 · outbound

This paper cites an unresolved cited work.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:36:54.653590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:36:51.654544Z digest=sha256:d57af4e3433ed5d19921e67ee41e8b475740c7bcc35f4609d987225cbaf9b1c3

Observation 38199536-4f7d-4bdf-aa35-fdd60584102a · outbound

This paper cites Osés-Grijalba, L.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Osés-Grijalba, L

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:36:54.528805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:36:51.715088Z digest=sha256:fe169625ce135900e1e1f8a51902a81f4540c4fa507b479be4c8d46a1eb7f907

Observation 6fa745c1-87c0-478f-a103-5dc25b81c3c9 · outbound

This paper cites Herzig, P.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Herzig, P

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T16:36:51.825711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:51.825711Z digest=sha256:ad31704b90ab5131762074d2105fd7db1d5fb0770f478157bcc9fec02500d709

Observation 9b4dacb0-5c56-4b9c-92d4-4badf7d016da · outbound

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

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps TAPEX: Table Pre-training via Learning a Neural SQL Executor

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T16:36:51.915513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:51.915513Z digest=sha256:daf4f08d11fdae4b8752229cb502be656e2dbe276adf5bec658bb954c11f1a39

Observation 9f97c17c-c935-4516-a706-fe191171921b · outbound

This paper cites OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:36:54.006199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:36:52.029084Z digest=sha256:9a358b1e7e33318f225d494e3aa2cd36fa00c8e3e24ac6c8e2f347a216233d0c

Observation caa60793-6ac2-4fbf-baa5-3d5e856c2a37 · outbound

This paper cites an unresolved cited work.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T16:36:52.197518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:52.197518Z digest=sha256:bee75f0099adba88ff9a10bba4ff1227a9a68aecee8534b9200f58d6731d71c5

Observation aff98b8a-ed77-40a7-94b8-bdfbd2da7bbd · outbound

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

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T16:36:52.274316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:52.274316Z digest=sha256:48c603fd510780ff6fc0824807edc2f4274a42f094aa0f40cc6f8dab721d7893

Observation 68ab8640-84b7-4b39-bcc7-298303e3e711 · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T16:36:52.389207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:52.389207Z digest=sha256:29c9049178fb35d5991bec783b90a8b99d89323e0ad295eb3c13e80105994447

Observation 5b9f07cc-1761-419d-9d3b-676f841fcf67 · outbound

This paper cites TabFact: A Large-scale Dataset for Table-based Fact Verification.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps TabFact: A Large-scale Dataset for Table-based Fact Verification

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T16:36:52.505745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:52.505745Z digest=sha256:1436c200b1e0713fe303436c7057d008005296a3cd5e2725c49a5ac5aa8cadb2

Observation 5cfb4003-ebde-4b58-b230-1e4897844c75 · outbound

This paper cites A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T16:36:52.625776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:52.625776Z digest=sha256:043be239c98c3ee87ecd1a32da4a0de7b52dca2b498399bf4f27ddc306bf951d

Observation 53e31186-58a7-4492-931f-2a33493a111e · outbound

This paper cites Osés Grijalba, L.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Osés Grijalba, L

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:36:54.382025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:36:52.754492Z digest=sha256:34a336c8761466b4cc7ef2933c908358bdc3cd11e49e5add202e656a992eaa19

Observation 87915663-d182-485e-a243-6b0df5f4326d · outbound

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

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps TableRAG: Million-Token Table Understanding with Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T16:36:52.897588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:52.897588Z digest=sha256:d294f1a30f7cc3562768105db3bf0d34ac1d8c40002c1d36ee73d3f3987266bc

Observation c8bd351e-c2bf-49e9-bb33-e0e7137a108d · outbound

This paper cites an unresolved cited work.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:36:54.275331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:36:52.956961Z digest=sha256:ba81e7994ded2792c39e8994f78d6a00cb395dd7d96736bf15be8a94d9e54116

Observation 86730b9e-215c-4632-8708-cb97bcecf74a · outbound

This paper cites Osés Grijalba, L.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Osés Grijalba, L

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:36:54.143137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:36:53.161466Z digest=sha256:9f5ca4109829ac7c951dc1b9e798d55606ae49fbc70639988dccd76ef3e4a1c8

Observation a0d37945-51e0-4bf8-92e8-a00e064d9e34 · outbound

This paper cites TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:36:53.801551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:36:53.210028Z digest=sha256:cade8534bc1fc3e913c8c56f116b320f2c0d43588af43e2a1e2e2adbbad2124b

Observation 645cc083-bdf8-4d72-9d9d-d0c34305cb5b · outbound

This paper cites Achieving Tool Calling Functionality in LLMs Using Only Prompt Engineering Without Fine-Tuning.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Achieving Tool Calling Functionality in LLMs Using Only Prompt Engineering Without Fine-Tuning

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:36:53.686784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:36:53.302559Z digest=sha256:d5ce39a7d76835490790719a9e0cba2594f56ea60bac2c7e230ed1fc33709c2b

Observation 4e0d131c-371f-4aa4-af76-40cf0fd2416a · outbound

This paper cites an unresolved cited work.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Unresolved cited work

Reference 20

Resolution
verified exact
doi, observed 2026-08-06T16:36:53.541126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:36:53.375956Z digest=sha256:b4405adfb56058d06f7d6efb014b15f3c6265ddcddc679f45062aad9d2a59a79

Observation e9fb302e-8b87-459e-a137-03f79e8707c5 · outbound

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

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T16:36:53.048544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:53.048544Z digest=sha256:4eb8b2b58d8bb00384bf2b484a9f50f53143af5246d001b3ceb8f684f30ebae8

Pith citing papers

No inbound Pith citation observations are available.