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Paper Citation Record · LEDGER

f-Divergence Minimization for Sequence-Level Knowledge Distillation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2307.15190.

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

pith.paper-citation-record.v1
2307.15190 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:01:59.106409Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T12:33:45.185387Z

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 34fd2182-f611-4e3b-ac8d-71a1a33e19a8 · inbound

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models cites this paper.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models f-Divergence Minimization for Sequence-Level Knowledge Distillation

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-16T12:01:59.106409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:01:59.106409Z digest=sha256:96f8805fd02e4d4351727d09628cab7f88fe3001ba6c8ba173e751c1e29ce8af

Observation a09273f2-c889-4b91-a6b9-5d9cd8f94e3f · inbound

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence cites this paper.

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence f-Divergence Minimization for Sequence-Level Knowledge Distillation

Reference 340

Resolution
malformed identifier
no resolver link, observed 2026-08-15T23:32:58.154253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:32:58.154253Z digest=sha256:9aa34abad8019b199feca58537a171ece392403d81855d6d715d8fdadb2d013e

Observation 99bdbf87-0aff-4dcd-b962-80c1bea9f7ac · inbound

Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework cites this paper.

Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework f-Divergence Minimization for Sequence-Level Knowledge Distillation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:01.284265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:01.284265Z digest=sha256:de753cec8bc75c4f0a7cc74148976ae960e0436b26407cdee6c374f903b12fb1

Observation 6495a6f9-5d0d-40d9-b97c-4707470f4816 · inbound

Stable On-Policy Distillation through Adaptive Target Reformulation cites this paper.

Stable On-Policy Distillation through Adaptive Target Reformulation f-Divergence Minimization for Sequence-Level Knowledge Distillation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T11:14:51.838577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T11:14:51.838577Z digest=sha256:9f6bc315ec89bb9553fd97cca3e00ce34e55b22c881365aa9ee211af2d1c496f

Observation 634fbfcb-da07-4b1f-81d7-fb27998aebc2 · inbound

Hybrid Policy Distillation for LLMs cites this paper.

Hybrid Policy Distillation for LLMs f-Divergence Minimization for Sequence-Level Knowledge Distillation

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:54:49.083751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T00:41:21.984760Z digest=sha256:9ea0f7dd294bc0d9236412e680efebb884eb07bbe036e6fe6104b43bb3a10111

Observation 045b2994-a9b6-499b-a0d2-ebb8b8588c31 · inbound

When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning cites this paper.

When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning f-Divergence Minimization for Sequence-Level Knowledge Distillation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:26:20.660266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T09:25:37.960991Z digest=sha256:d417afff155960a66bb514e73c6d097b0f75518ac3a0c5bd03697373165c94d2

Observation 8c526c37-95b8-4e53-97c7-dadeac313dfa · inbound

Weak-to-Strong Generalization via Direct On-Policy Distillation cites this paper.

Weak-to-Strong Generalization via Direct On-Policy Distillation f-Divergence Minimization for Sequence-Level Knowledge Distillation

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-07-07T12:33:45.186757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-07T12:31:42.224094Z digest=sha256:47b5e995a0fc5c293792d4b44200d186b9b73b544cd6b2b9266f8d7ba8ea46e9

Observation 41d7ce90-7def-4c90-9ae3-971c097dea1f · inbound

Weak-to-Strong Generalization via Direct On-Policy Distillation cites this paper.

Weak-to-Strong Generalization via Direct On-Policy Distillation f-Divergence Minimization for Sequence-Level Knowledge Distillation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-11T07:01:56.628017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T07:01:56.628017Z digest=sha256:c52441b8c530cf80ef8ec8972cb96a741069777d33edd114fa9df8e03cb8552b

Observation d44d2cca-4c3d-458d-a8bd-74958138efe8 · inbound

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization cites this paper.

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization f-Divergence Minimization for Sequence-Level Knowledge Distillation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T05:09:56.818777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:09:56.818777Z digest=sha256:5874ee6235d26ea32d7f6acea5c0c3238001bedecee73a16842c45259994bfcd