Paper Citation Record · LEDGER

A Survey of Large Language Model Agents for Question Answering

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2503.19213.

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

pith.paper-citation-record.v1
2503.19213 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:21.267254Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1b5eca36-0006-49aa-943b-da465f463b9d · inbound

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis cites this paper.

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis A Survey of Large Language Model Agents for Question Answering

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:21.267254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2221b3fc-dfa4-4292-87c1-568ea50a5ab6 · inbound

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization cites this paper.

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization A Survey of Large Language Model Agents for Question Answering

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:07.477804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17ba29dc-25b3-4436-807b-2829f13357b8 · inbound

SHERPA: A Model-Driven Framework for Large Language Model Execution cites this paper.

SHERPA: A Model-Driven Framework for Large Language Model Execution A Survey of Large Language Model Agents for Question Answering

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T13:51:36.171918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e3b94fa-08b6-4416-bfa7-3f39b49c2b23 · inbound

iPDB -- Optimizing Semantic SQL Queries cites this paper.

iPDB -- Optimizing Semantic SQL Queries A Survey of Large Language Model Agents for Question Answering

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:30:53.935123Z

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.

Observation aad9c58c-41f3-4e3f-a03c-58a2d82b43b7 · inbound

dgMARK: Decoding-Guided Watermarking for Diffusion Language Models cites this paper.

dgMARK: Decoding-Guided Watermarking for Diffusion Language Models A Survey of Large Language Model Agents for Question Answering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T06:22:04.134562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 994cd115-f56c-45a7-9224-273e47552716 · inbound

KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks cites this paper.

KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks A Survey of Large Language Model Agents for Question Answering

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:16:20.717444Z

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.

Observation f65a3ed3-4fd1-4a6c-be2b-586632986b9d · inbound

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs cites this paper.

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs A Survey of Large Language Model Agents for Question Answering

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:40:53.456569Z

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.

Observation cf827731-f023-4cfb-b075-42cd36ab430c · inbound

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs cites this paper.

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs A Survey of Large Language Model Agents for Question Answering

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:19:52.892061Z

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.

Observation 4a3559bc-5520-4f9e-aba9-f54874180e64 · inbound

LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs cites this paper.

LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs A Survey of Large Language Model Agents for Question Answering

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:15:04.889165Z

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.

Observation b83b8d35-db3a-4ec7-a384-4879c1534017 · inbound

LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs cites this paper.

LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs A Survey of Large Language Model Agents for Question Answering

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:29:21.804812Z

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.

Observation 34efcec3-d00c-4228-9ba8-1e8789babf87 · inbound

ATOM: Instantiating Budget-Controllable Multi-Agent Collaboration via Nucleus-Electron Hierarchy cites this paper.

ATOM: Instantiating Budget-Controllable Multi-Agent Collaboration via Nucleus-Electron Hierarchy A Survey of Large Language Model Agents for Question Answering

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.290202Z

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.

Observation b07ac22a-d093-41e4-b2b8-192f6312d452 · inbound

Fighting Numerical Hallucinations via Data-centric Compilation for Online Financial QA cites this paper.

Fighting Numerical Hallucinations via Data-centric Compilation for Online Financial QA A Survey of Large Language Model Agents for Question Answering

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:26:12.583610Z

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.

Observation 9d47cc5e-50f8-4686-ae58-0b5e4541c725 · inbound

From Fragments to Paths: Task-Level Context Recovery for Large Industrial Codebases cites this paper.

From Fragments to Paths: Task-Level Context Recovery for Large Industrial Codebases A Survey of Large Language Model Agents for Question Answering

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:19:50.120181Z

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.

Observation 4bf4bcaf-81d1-4427-84f9-9faaa3a7ff0c · inbound

HEART: Coordination of Heterogeneous Expert Agents for Physically Grounded Robotic Task Planning cites this paper.

HEART: Coordination of Heterogeneous Expert Agents for Physically Grounded Robotic Task Planning A Survey of Large Language Model Agents for Question Answering

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:40:06.789702Z

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.

Observation 4fb7189e-b723-42f3-a9f2-e6d1cef37402 · inbound

Benchmarking Large Language Models on Floating-Point Error Classification cites this paper.

Benchmarking Large Language Models on Floating-Point Error Classification A Survey of Large Language Model Agents for Question Answering

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:15:44.923616Z

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.

Observation b5e7cbea-9797-40a8-ae6f-2ca5b07990fb · inbound

TopoTuner: Topological Finetuning of Large Language Models cites this paper.

TopoTuner: Topological Finetuning of Large Language Models A Survey of Large Language Model Agents for Question Answering

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T20:28:11.259681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52da5ea7-01fb-43d0-a8ba-e8d7f6480805 · inbound

TopoTuner: Topological Finetuning of Large Language Models cites this paper.

TopoTuner: Topological Finetuning of Large Language Models A Survey of Large Language Model Agents for Question Answering

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:27.196559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57a5d45a-8daf-4106-8613-48fe82ea7b45 · inbound

PAGE-RAG: Evidence-Grounded Adaptive Graph Retrieval for Long-Document Question Answering cites this paper.

PAGE-RAG: Evidence-Grounded Adaptive Graph Retrieval for Long-Document Question Answering A Survey of Large Language Model Agents for Question Answering

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T12:51:56.521639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9295706-658f-4a9b-b10b-01cee6bc71d0 · inbound

Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution cites this paper.

Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution A Survey of Large Language Model Agents for Question Answering

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T00:20:37.260559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.