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Paper Citation Record · LEDGER

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2502.10338.

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

pith.paper-citation-record.v1
2502.10338 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:31:46.677098Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5dd703e8-cee2-4b32-9e77-c1ba5b2afa50 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering Training Verifiers to Solve Math Word Problems

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T18:31:46.610740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:31:46.610740Z digest=sha256:240b4e0004c16a41e08a815b198a32e631b92e362086f91897f374e5be4bc25e

Observation c5578efc-e2f6-413e-95c6-1cadc96335a6 · outbound

This paper cites The Llama 3 Herd of Models.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering The Llama 3 Herd of Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T18:31:46.624008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:31:46.624008Z digest=sha256:a3e87d6797e3d2c9de0579f3e1a8d5642a945c98011f1e7c8cfb71283f0fa6d9

Observation 9d1e3700-fe8f-4399-9c6a-19a46b3b3a00 · outbound

This paper cites FOLIO: Natural Language Reasoning with First-Order Logic.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering FOLIO: Natural Language Reasoning with First-Order Logic

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T18:31:46.629555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:31:46.629555Z digest=sha256:97375fe0e7dd062fedccbe2a6a56c8e3e8d7091fc1f9e776562b9efa790d31fb

Observation e57ca586-824d-45a4-9ac6-f9d77bbd52c2 · outbound

This paper cites Online: Association for Computational Linguistics.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering Online: Association for Computational Linguistics

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:31:46.949652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:31:46.641360Z digest=sha256:f90751dbb749b6ef8bea93d987d6166f00bd424a0c54c7c1bbafdd938a966e79

Observation 7df9c41a-994e-40ca-931a-035022008e91 · outbound

This paper cites Hong Kong, China: Association for Computational Linguistics.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering Hong Kong, China: Association for Computational Linguistics

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:31:46.928025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:31:46.647079Z digest=sha256:50eb8cdec0c782b6ed3bbbd8a6167c1330a0c3a8aec97e0a190749671b6e8449

Observation 360f50a6-599a-40d9-bc8d-15cdd30ce0ad · outbound

This paper cites In Proceedings of the 2019 Con- ference of the North , 4149–4158.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering In Proceedings of the 2019 Con- ference of the North , 4149–4158

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:31:46.901004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:31:46.652772Z digest=sha256:8b0f19fcdbf10c28df4b7253256a9835f5047baa1368ac42d1579a263a5d9d4d

Observation ef057984-b5ba-467d-ad07-cbed6fcfdcc8 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering Gemma 2: Improving Open Language Models at a Practical Size

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T18:31:46.659440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:31:46.659440Z digest=sha256:8bad2c4d61022b0094d8f6dc36d2c5f7f728845cb58fc0af04682b5629f1e1d0

Observation cc703aef-f5f0-4a79-bec3-392b996d7839 · outbound

This paper cites In The Eleventh International Conference on Learning Representations.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering In The Eleventh International Conference on Learning Representations

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:31:46.881899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:31:46.665845Z digest=sha256:0282c4f76c2fcf4e084d22a524bde77b85efa57c454324c0e46ede7487811e5c

Observation aa43d4a0-dd03-4830-8394-52bec8d3ab11 · outbound

This paper cites How well do Large Language Models perform in Arithmetic tasks?.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering How well do Large Language Models perform in Arithmetic tasks?

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T18:31:46.677098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:31:46.677098Z digest=sha256:ddf21795335ffb0125aeb790028c1d6cbe74096726643229bb042c33951a3048

Observation 9eadff39-dd46-470a-8036-46254e624ef2 · outbound

This paper cites In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2369–2380.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2369–2380

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:31:46.863179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:31:46.671268Z digest=sha256:8ce67121d229ca439a9550cc7b464a393959a77c2e1fd40a667534283a3f26fa

Observation a513bc15-6821-47b2-aded-4998578a4283 · outbound

This paper cites In Proceedings of the 2019 Con- ference of the North , 4171–4186.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering In Proceedings of the 2019 Con- ference of the North , 4171–4186

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:31:46.974326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:31:46.617072Z digest=sha256:f74fa6922c2376d984f8e31f92b52c55e11511288b20d2e53740ddff55b4c107

Observation 06620efd-34b3-445b-aa9d-8aae01208787 · outbound

This paper cites In Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M.; and Lin, H., eds., Advances in Neu- ral Information Processing Systems, volume 33, 1877–1901.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering In Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M.; and Lin, H., eds., Advances in Neu- ral Information Processing Systems, volume 33, 1877–1901

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:31:47.014132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:31:46.590675Z digest=sha256:c02e08b90d63a10652e062ca1b8d032791898cecfcd1fe3e64cfc8a0a10a0b0a

Observation 89fcc5e2-d874-477f-ba3a-25df86b3453e · outbound

This paper cites In Findings of the Association for Computational Linguistics : ACL-IJCNLP 2021, 513–523.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering In Findings of the Association for Computational Linguistics : ACL-IJCNLP 2021, 513–523

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:31:46.994270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:31:46.604636Z digest=sha256:379754c131a019db298298c3d7d72a1bcc250541a1937c54d0206d8dbc15d5ee

Observation f3589f1c-5e4c-4ac1-a7f6-bbcb1ae588f4 · outbound

This paper cites ALIST: Associative Logic for Inference, Storage and Transfer. A Lingua Franca for Inference on the Web.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering ALIST: Associative Logic for Inference, Storage and Transfer. A Lingua Franca for Inference on the Web

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-07T18:31:46.766216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:31:46.635314Z digest=sha256:325784a35c87d0240c2633f6e51a6efc87e61ccc67efc4c3d203d34ae08de43a

Observation 369a6e52-2328-47d3-ba8c-8ecacfebee7c · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T18:31:46.575124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:31:46.575124Z digest=sha256:a17d11c034ffded8ffc036f73a8b515cdc332e5db15015f9589a8ce42c78d56d

Pith citing papers

No inbound Pith citation observations are available.