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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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=sha256:4fa83432e24585186e61aca6f8f3ad567457d387120a3b0d74b2fd624ddc57ac

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:e6e38e245247fc735eb19d147366dd494e535cb6b896cad6c878a49bec458933

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:36:51.570963Z digest=sha256:4906e17ae98ec304e336c0684dc5ebc62a537d1e4da92819d7f11f2cc5a9e001

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:36:51.654544Z digest=sha256:984143e9981719c57276030411c802ec6b0637331917a92e8499ef5a48b73873

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:36:51.715088Z digest=sha256:6c571e76f5b22c1027dea75ef707498301735b7e4bd76aff74cc1389029453a1

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=sha256:89098a099cf8cc48dd7f56a4b152380c689ecc5c79bbb88b07883fdd2a087c15

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=sha256:5666b8cb6aa0841bc29e8c0212e62ebf8c7326a561b9b15950bcb39bfc77a111

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:36:52.029084Z digest=sha256:0bee9e1ad337d71b6306c2f05cc4cac1dbddc4fbef532706708fa826401fa58a

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=sha256:2e1d2f5ced5bf6f71a38b7e97aa5d4d53a46eab8b1795326d2e28256caf9064b

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=sha256:2a77eb9844eb4d97a93c640b5331d5299ccf8a9e134ae5344fc00e5df39ac03d

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:b98e3e77f63ca3b882176df05730f33d3bdd62dc91dee930dbb2530d61c2d22b

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=sha256:704d52ccc748bb1183e04bcc6976480363275d7a0c63fac9f82376db07e03865

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=sha256:4cafe63d177ecaf7d85ccac7222b2895bcd1041b1d779aeef65ca46d1e4859b6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:36:52.754492Z digest=sha256:80e07c72e1d09d25164f344a587bf7ad707e74b794eabc0c0c24a31601965c82

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=sha256:2e60a614e637d77633e0c68651bf32897264f087cee07a5563c94caccdcaaa23

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:36:52.956961Z digest=sha256:efda720b80a6f1c1fbf9127233793dfc67b4018a8375cb90fcd2930b9e884d0d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:36:53.161466Z digest=sha256:232249043e4d6656e1d8f54f728762ae6bd83b5e78ebe8ac69772261b549944e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:36:53.210028Z digest=sha256:fa26618ae9f81fed6a668f4f58560a6ba40aee7c92141dafafacc11505e66c38

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:36:53.302559Z digest=sha256:09db495d421ab37e58afb87dbba3009a9d8f8c3294b668ce62dc4d891fbb79ea

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:36:53.375956Z digest=sha256:77e4cf9428becfb8597ce6767cc3bc98143b8c7f382520c6284f1d88f5be9ee5

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:f06c7299da5e08f14deca81ae993530e731a9ab90dcabe1dc425dde013355c97

Pith citing papers

No inbound Pith citation observations are available.