Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.12030.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:07:09.286384Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T10:04:47.024668Z
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 4e11166d-3e79-44f6-b5b2-65be13bc0482 · inbound
Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models cites this paper.
Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:07:09.286384Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50bed358-f5b1-4353-81a8-e557d93e5f8b · inbound
Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit cites this paper.
Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:14.827341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73da1742-a4a3-423a-972f-ba604f6deca2 · inbound
GenRecal: Generation after Recalibration from Large to Small Vision-Language Models cites this paper.
GenRecal: Generation after Recalibration from Large to Small Vision-Language Models Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:21.225952Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3d188ee-b42c-4fae-9ff0-48d6316b5b4a · inbound
PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence cites this paper.
PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T13:15:50.720734Z
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 bf7bd35a-42d8-4ffe-9bc1-1f1bba46c126 · inbound
Can MLLMs Reason About Visual Persuasion? Evaluating the Efficacy and Faithfulness of Reasoning cites this paper.
Can MLLMs Reason About Visual Persuasion? Evaluating the Efficacy and Faithfulness of Reasoning Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:42:07.077348Z
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 ef5d8a97-0a89-4af8-b1c7-7e636603ecdd · inbound
X-Token: Projection-Guided Cross-Tokenizer Knowledge Distillation cites this paper.
X-Token: Projection-Guided Cross-Tokenizer Knowledge Distillation Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:04:47.027936Z
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 a59c4d2b-4e98-4b3b-80a3-5fafeacd4bc9 · inbound
Self-Policy Distillation via Capability-Selective Subspace Projection cites this paper.
Self-Policy Distillation via Capability-Selective Subspace Projection Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T05:34:40.371179Z
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 60ac8b6d-38b3-4603-99a6-793cb508b91e · inbound
The Asymmetric Effects of Knowledge Distillation on Bias in Small Language Models cites this paper.
The Asymmetric Effects of Knowledge Distillation on Bias in Small Language Models Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:56:33.596645Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 479ad23d-8ed7-4133-8041-51e4f64a442f · inbound
Federated Foundation Models Fine-Tuning with Heterogeneous Compressed Clients cites this paper.
Federated Foundation Models Fine-Tuning with Heterogeneous Compressed Clients Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:16:07.520894Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.