Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.04614.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T11:38:34.581649Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T13:56:59.336897Z
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 984829d6-5a12-4e9e-9eda-6e07cec21d3c · inbound
VLMs Can Aggregate Scattered Training Patches cites this paper.
VLMs Can Aggregate Scattered Training Patches Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:04:05.791113Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1725881f-bc21-4c5c-9850-e93582da06ef · inbound
Deep sequence models tend to memorize geometrically; it is unclear why cites this paper.
Deep sequence models tend to memorize geometrically; it is unclear why Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:40:36.368436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f4bb0656-1f84-4dff-ba1f-1b4ded31045a · inbound
DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning cites this paper.
DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T13:56:59.338652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fe1c7522-fd0b-4138-9403-a428dfbf95f6 · inbound
DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning cites this paper.
DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T09:18:43.665696Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bed8637e-3eee-4548-a1e6-d7ada862ea70 · inbound
Why Knowing Both Hops Is Not Enough: Understanding Two-Hop Generalization in Language Models cites this paper.
Why Knowing Both Hops Is Not Enough: Understanding Two-Hop Generalization in Language Models Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T11:38:34.581649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.