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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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

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=sha256:6b8ad0ba3586406bc41afda58824bf1c9dc3e114d1c111abadbbd9ab10f74697

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T18:31:46.641360Z digest=sha256:4072c1028be47a774c0bb7aa24cc2b5e77a2c178b7594f36552bf8a8cbc8458e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T18:31:46.647079Z digest=sha256:f9838b594228c5615d453f755f3e27848c46655b6a537676b0e46b92ad671bda

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T18:31:46.652772Z digest=sha256:d06c72f251a6f6455ef2fbab6edbaa829f288dc16894b2a08e0f0690614a47b9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T18:31:46.665845Z digest=sha256:655911c19fff34ffbf5517a733a60b833f34675a83c52fd4672f44911873b23c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T18:31:46.671268Z digest=sha256:f388b9eda836f62e828e1d31d8a52c857fb82a77b5f9c28bde08fc27ffc86f31

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T18:31:46.617072Z digest=sha256:66222fa15f9fc04139c29e7062a21bffc216c2bb82a234550800bf63226c53e7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T18:31:46.590675Z digest=sha256:b7c5aeb65246da248f684012e1ccec8ce654bb261d7dc03787f2142761de70ba

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T18:31:46.604636Z digest=sha256:7a0887653dcd9e3b5465d0525bd49217bc6a1fc13e532185163827b50b0b26c2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T18:31:46.635314Z digest=sha256:91389a6ce1c12940cea3cbada4c1c8d34a5e0996272b0e4033379558724711eb

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.