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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:065dea10ba8882065ac13b09546c925017573aa53424d1cd4f9b7556c4b7649a

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=sha256:274caea020772f4b211483c1c471a2d89c156506e11b01359b264af6d196e11b

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:d0370d46fba1620cbfee5b76f44118cf5cf8267586b8955feff3a395dcba6a64

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T18:31:46.641360Z digest=sha256:91f21d49347ee56c7be98fe9ffde964ae7502c430bd6607e7e993e627d14e2d4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T18:31:46.647079Z digest=sha256:a7b2974554200aacff42c24b4f009f3fc334a23227d7ab12a32b509999ec72a7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T18:31:46.652772Z digest=sha256:9e225785dbda072094e16d5c1af0b5cd29c82c9019df1dd31ee5b53968108835

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=sha256:309068ca8b4b2d6f4dee7e89e2b0742084eaa251aebc12dc516d40a0ff043628

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T18:31:46.665845Z digest=sha256:8ac506c648131cb38c72c9e1e9f0bce00b2d60fa248ce67998a91b5049b8bd42

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=sha256:83e3b15eca70a82e41735662a23532900ab376d1f02febf9b1e41ba8077859e5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T18:31:46.671268Z digest=sha256:77498fce1147163df247a2f98f008b3448a1141217532868a49039ff864e2cb6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T18:31:46.617072Z digest=sha256:9bae405704ae271a458a64e955ef32f6d9d7728d36799d4fdaa8b958994e1a5a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T18:31:46.590675Z digest=sha256:e55be2addeb191b42c5e5971c0258ed23a9399d8845af25b83b98ab57371b877

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T18:31:46.604636Z digest=sha256:1eec99ea75c04a022ce71fa1c4919f306afebe550207a4ae82ed4858bb2fc345

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T18:31:46.635314Z digest=sha256:9555c12c025176d8783b3051a7fe3ab17d60f531c8d7ab6503f004b14a319230

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:d39fc48ca7e49b2ce37848ad2819c34c092ae147c61a8066ea6bfd51a5cd707c

Pith citing papers

No inbound Pith citation observations are available.