Paper Citation Record · LEDGER

Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2102.03315.

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

pith.paper-citation-record.v1
2102.03315 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:59:08.433389Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:08:50.555729Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7dfec8ed-88b9-4453-b237-43d9b8acb243 · inbound

Corrective Retrieval Augmented Generation cites this paper.

Corrective Retrieval Augmented Generation Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:19:17.320761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 986c18e4-f9a6-463a-884c-0530c3304ca8 · inbound

Vector Retrieval with Similarity and Diversity: How Hard Is It? cites this paper.

Vector Retrieval with Similarity and Diversity: How Hard Is It? Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:45:32.792650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9293f248-9479-4f1a-9bb0-148e52d0fa1f · inbound

Agentic LLMs in the Supply Chain: Towards Autonomous Multi-Agent Consensus-Seeking cites this paper.

Agentic LLMs in the Supply Chain: Towards Autonomous Multi-Agent Consensus-Seeking Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T19:59:08.433389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34cd048f-ec61-45eb-b472-9e6563dff5ad · inbound

MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models cites this paper.

MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T19:40:42.477323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ac7a316-6b0e-4c8b-87dd-d7ccaea37189 · inbound

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions (Full Thesis) cites this paper.

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions (Full Thesis) Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T12:45:39.135708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6c054e3-9c72-4f12-b6f3-0401c448a20f · inbound

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search cites this paper.

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T04:07:30.429374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0a7537fa-27b8-47b0-95a9-475b1980d2d2 · inbound

Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked? cites this paper.

Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked? Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:57:03.053674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1d0af229-8979-4c47-833e-111f69af968c · inbound

WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training cites this paper.

WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T14:49:40.177307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0c61715-c566-4bd6-bec0-7e842dd5819d · inbound

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs cites this paper.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T05:01:16.252691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93b1b66c-fcb1-4b37-b0a3-e71106b7986c · inbound

Toward Preference-aligned Large Language Models via Residual-based Model Steering cites this paper.

Toward Preference-aligned Large Language Models via Residual-based Model Steering Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:12.724861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06a85f71-891d-4291-8845-167e93792c8d · inbound

RUQuant: Towards Refining Uniform Quantization for Large Language Models cites this paper.

RUQuant: Towards Refining Uniform Quantization for Large Language Models Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:38:02.602741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b0f6837e-1db0-461f-b2ce-1b8251d28c3c · inbound

SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models cites this paper.

SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:58.365798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation badf0a94-f75a-4475-b5d9-a3f734903f01 · inbound

Dynamic Linear Attention cites this paper.

Dynamic Linear Attention Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:39.814497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 858db70c-e839-46a2-a834-9b8f24f3e512 · inbound

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale cites this paper.

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:17:25.617283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1914d9d9-2594-4cab-a3b7-008f97ef93f3 · inbound

SoftMoE: Soft Differentiable Routing for Mixture-of-Experts in LLMs cites this paper.

SoftMoE: Soft Differentiable Routing for Mixture-of-Experts in LLMs Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:08:50.557357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a9e4b443-a4a2-45c7-b901-6906aeb83cac · inbound

MultiHashFormer: Hash-based Generative Language Models cites this paper.

MultiHashFormer: Hash-based Generative Language Models Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:05:51.080154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0b2e32fc-a8ac-4aeb-accf-95852374aef5 · inbound

SymStep: Symbolic Step Verification for Logical Reasoning cites this paper.

SymStep: Symbolic Step Verification for Logical Reasoning Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T03:48:26.974882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.