Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:15:59.297896Z
Paper Citation Record · LEDGER
Instruction Data Selection via Answer Divergence
As of 11 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 5 inbound Pith citation observations for arXiv:2604.10448.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-01T00:41:00.814875Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-01T00:45:11.916579Z
Reference resolution
11 of 11 outbound references displayed
- verified exact1
- verified fuzzy4
- unresolved2
- parse uncertain0
- malformed identifier1
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d6e3d01d-067a-4ba6-8352-636d25ef84d8 · outbound
This paper cites Evaluating Large Language Models Trained on Code.
Instruction Data Selection via Answer Divergence Evaluating Large Language Models Trained on Code
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T09:05:59.582547Z
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.
Observation debde621-12c8-482d-8750-4d59a8907667 · outbound
This paper cites Data Selection for Multi-turn Dialogue Instruction Tuning.
Instruction Data Selection via Answer Divergence Data Selection for Multi-turn Dialogue Instruction Tuning
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T09:05:59.570239Z
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.
Observation 4c0740be-2b23-489d-9ff3-4eae3568ede2 · outbound
This paper cites Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories.
Instruction Data Selection via Answer Divergence Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T09:05:59.579009Z
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.
Observation 6fa136fe-6294-481e-95b1-efd45dff5e81 · outbound
This paper cites Layer by Layer: Uncovering Hidden Representations in Language Models.
Instruction Data Selection via Answer Divergence Layer by Layer: Uncovering Hidden Representations in Language Models
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T16:30:37.615120Z
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.
Observation 21172593-6e9e-4397-b485-fd89369bbd98 · outbound
This paper cites It then performs selection by maximizing marginal information gain under a diminishing-returns objective, encouraging both high-quality signals and broad semantic coverage.
Instruction Data Selection via Answer Divergence It then performs selection by maximizing marginal information gain under a diminishing-returns objective, encouraging both high-quality signals and broad semantic coverage
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T16:14:57.193878Z
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.
Observation de1760c1-bf01-41a4-821e-37b83e6f7687 · outbound
This paper cites It trains a style consistency-aware response ranking model to score and rank exam- ples, then selects a small but highly style-consistent subset for instruction tuning.
Instruction Data Selection via Answer Divergence It trains a style consistency-aware response ranking model to score and rank exam- ples, then selects a small but highly style-consistent subset for instruction tuning
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T16:14:57.178666Z
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.
Observation b3f9536d-81d9-42ee-83af-57b2db2da8fc · outbound
This paper cites experience.
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T16:14:57.170055Z
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.
Observation 2a2508bf-c601-4848-afd7-2c9221c80ce1 · outbound
This paper cites an unresolved cited work.
Instruction Data Selection via Answer Divergence Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T16:14:57.182234Z
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.
Observation 17d90c91-21fa-41a5-949e-79e89a99dca1 · outbound
This paper cites an unresolved cited work.
Instruction Data Selection via Answer Divergence Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T16:14:57.185795Z
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.
Observation d42b7251-9055-45de-bb3c-f7c5070cdd80 · outbound
This paper cites It then se- lects the highest-scoring subset for SFT, improving fine-tuning efficiency without requiring an extra external scoring model.
Instruction Data Selection via Answer Divergence It then se- lects the highest-scoring subset for SFT, improving fine-tuning efficiency without requiring an extra external scoring model
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T16:14:57.189854Z
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.
Observation 9598b334-55f3-40b0-98b0-789ea5601815 · outbound
This paper cites Within each cluster, it selects the examples with the largest token length, yielding a long-text-focused sub- set while maintaining semantic diversity through cluster-wise quotas.
Instruction Data Selection via Answer Divergence Within each cluster, it selects the examples with the largest token length, yielding a long-text-focused sub- set while maintaining semantic diversity through cluster-wise quotas
Reference 11
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-17T16:14:57.173982Z
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.
Pith citing papers
Observation bb6f81ab-951a-49d8-9dc2-fb0a337498d9 · inbound
Data Selection for Multi-turn Dialogue Instruction Tuning cites this paper.
Data Selection for Multi-turn Dialogue Instruction Tuning Instruction Data Selection via Answer Divergence
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T07:55:59.668729Z
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.
Observation 6af23e62-9066-4507-b6c3-feaae826d8e6 · inbound
Generating Effective CoT Traces for Mitigating Causal Hallucination cites this paper.
Generating Effective CoT Traces for Mitigating Causal Hallucination Instruction Data Selection via Answer Divergence
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T11:01:04.721628Z
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.
Observation 9a962560-0b61-4d8d-8a39-6f1a32c97584 · inbound
Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation cites this paper.
Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation Instruction Data Selection via Answer Divergence
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:51:07.544336Z
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.
Observation 5d9385ba-315f-4abd-b0e1-119a3a3fbf23 · inbound
Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation cites this paper.
Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation Instruction Data Selection via Answer Divergence
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T00:45:11.917873Z
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.
Observation 46b3ac62-9575-4a4c-9b49-7f7826f68ad3 · inbound
Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation cites this paper.
Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation Instruction Data Selection via Answer Divergence
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:46:09.054215Z
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.