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Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 3 inbound Pith citation observations for arXiv:2505.04560.

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

pith.paper-citation-record.v1
2505.04560 v3

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:32:58.224956Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T16:20:17.727753Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:39:45.633252Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved2
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8eca142-0432-4e5f-88d3-3695167bdccd · outbound

This paper cites Ify1 andy2 are such thatδ1 <q t(y1) =q t(y2)≤p(y 1) (whereδ1 >0 ), andp(y1)≥p(y 2) +ζ , it holds that∆α1 t (y1,y 2)≥∆ α2 t (y1,y 2).

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence Ify1 andy2 are such thatδ1 <q t(y1) =q t(y2)≤p(y 1) (whereδ1 >0 ), andp(y1)≥p(y 2) +ζ , it holds that∆α1 t (y1,y 2)≥∆ α2 t (y1,y 2)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.470546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T23:32:58.166154Z digest=sha256:82b98ed3fcab730f87fc8fe6b3701adf67d8035e27ba54e5f54083d6c0f1e465

Observation 3459fa8b-950d-472b-add9-9ec75fc2c870 · outbound

This paper cites If y1 andy2 are such that p(y1)< qt(y1) =q t(y2)≤1−δ 2, but p(y1)≥p(y 2) +ζ , then, ∆r t (y1,y 2)> ∆f t (y1,y 2).

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence If y1 andy2 are such that p(y1)< qt(y1) =q t(y2)≤1−δ 2, but p(y1)≥p(y 2) +ζ , then, ∆r t (y1,y 2)> ∆f t (y1,y 2)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.439676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T23:32:58.176549Z digest=sha256:cf57f73631d6339e7a67270ba17c8b0db75cdab8808cdad38b568f5bd992953d

Observation 40a9f78b-4124-4f77-b89b-79ef193912ba · outbound

This paper cites The proof is in App.

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence The proof is in App

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.484984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T23:32:58.160308Z digest=sha256:ac22b2fcfabf825fd70063347bc2f7950afe3398d7b9ad7539ffb38c40934b99

Observation 15827d17-3b23-4519-8f41-a73cd3f0edf7 · outbound

This paper cites Ify1 andy2 are such thatqt(y2) +ζ≤q t(y1)≤1−δ 2, andc0·qt(y2)<p(y 1) =p(y 2)<c 1·qt(y1), wherec0 and c1 are constants withc 0 >1andc 1 <1, then,∆ r t (y1,y 2)>∆ f t (y1,y 2).

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence Ify1 andy2 are such thatqt(y2) +ζ≤q t(y1)≤1−δ 2, andc0·qt(y2)<p(y 1) =p(y 2)<c 1·qt(y1), wherec0 and c1 are constants withc 0 >1andc 1 <1, then,∆ r t (y1,y 2)>∆ f t (y1,y 2)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.408040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T23:32:58.187085Z digest=sha256:0149c042112d338f019c0c9aebc774d632d6bb692469ab0b7fc3c52906a6f6a3

Observation 06e7c6dd-2d6e-4242-82fe-da6b0055050d · outbound

This paper cites Ify1 andy2 are such that δ1 < qt(y1) =q t(y2)< p(y 1) (whereδ1 >0,δ 2 >0 ), but p(y1)≥p(y 2) +ζ , then, ∆r t (y1,y 2)>∆ f t (y1,y 2).

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence Ify1 andy2 are such that δ1 < qt(y1) =q t(y2)< p(y 1) (whereδ1 >0,δ 2 >0 ), but p(y1)≥p(y 2) +ζ , then, ∆r t (y1,y 2)>∆ f t (y1,y 2)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.455258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T23:32:58.171514Z digest=sha256:4a3986734bfa8428816a6c56c569dbb166d59a9b41013ddef78d8f60ad568c47

Observation 993e4e09-b336-42d0-904d-2d9a9e0e616d · outbound

This paper cites If y1 andy2 are such that qt(y2) +ζ≤q t(y1)≤1−δ 2, and p(y1) =p(y 2)> c 0·qt(y1), wherec0 is a positive constant>1, then,∆ r t (y1,y 2)>∆ f t (y1,y 2).

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence If y1 andy2 are such that qt(y2) +ζ≤q t(y1)≤1−δ 2, and p(y1) =p(y 2)> c 0·qt(y1), wherec0 is a positive constant>1, then,∆ r t (y1,y 2)>∆ f t (y1,y 2)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.424195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T23:32:58.181774Z digest=sha256:2ebec2f630d489180b6591f53afdb13a226fae53e57ba7847af32f76d5cc8130

Observation 6c9bd6a8-c1d2-427a-a8f0-f75fc1e60589 · outbound

This paper cites (36) Simplifying: ∂q(i) ∂f(i) =q(i)(1−q(i)).(37).

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence (36) Simplifying: ∂q(i) ∂f(i) =q(i)(1−q(i)).(37)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.392427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T23:32:58.192961Z digest=sha256:38c5cad03df1e4e3cc1d623621c7eb3be67a9ba91e511a5847c0e35b581d488f

Observation 51cee0a9-0c3c-44c1-afcb-d633cab0a4d2 · outbound

This paper cites q(y) 1−α (p(y)α−q(y) α) +q(y) X k q(k) 1−α(q(k)α−p(k)α) !#! .(47) Taking the logarithm on both sides, we get: logqα t+1(y) qt(y) =η.

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence q(y) 1−α (p(y)α−q(y) α) +q(y) X k q(k) 1−α(q(k)α−p(k)α) !#! .(47) Taking the logarithm on both sides, we get: logqα t+1(y) qt(y) =η

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.376293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T23:32:58.198307Z digest=sha256:2df5f3924471de7fce911f6b213a0704fc7c2ea06896baa14625ffac0a29dc55

Observation de502133-de94-428d-88da-c3bd310a0d66 · outbound

This paper cites an unresolved cited work.

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-15T23:32:58.358555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T23:32:58.203821Z digest=sha256:ea96fea05011626920bb1efa938d08250be43250baba1791267687ec21fcc61b

Observation 39e346fc-a2ca-4425-b15f-080d5475d328 · outbound

This paper cites Moreover, for allp(y1)> c0, it holds that f(p(y 1))<0.

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence Moreover, for allp(y1)> c0, it holds that f(p(y 1))<0

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.343184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T23:32:58.209075Z digest=sha256:73da7a9359c5d58ad3e8e0bfc3657b623de4101bd6b490cfdfd137aa994ae016

Observation 0438db78-f617-420a-8792-1ac5e1ef2d5a · outbound

This paper cites X k q(k) 1−α (q(k)α−p(k)α) # . (121) Consideringf(α)≜∆ α(y1,y 2)/η, taking the derivative with respect toαyields: f′(α) = 1 α2.

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence X k q(k) 1−α (q(k)α−p(k)α) # . (121) Consideringf(α)≜∆ α(y1,y 2)/η, taking the derivative with respect toαyields: f′(α) = 1 α2

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.327081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T23:32:58.214000Z digest=sha256:fb59fc7d4cd5ce7ea5b8b6a81b66df5fc5f902908f5cf980969edf0bcd0c7b79

Observation 5d60ce0a-2813-4cb4-b209-52fc067ae3c2 · outbound

This paper cites Proof.First, we prove Case 1.

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence Proof.First, we prove Case 1

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.311644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T23:32:58.218923Z digest=sha256:63484e4f0e7a2af571d4095a318c192f0c54e16e7ff5d37c698419fe6f2d38aa

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

This paper cites f-Divergence Minimization for Sequence-Level Knowledge Distillation.

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 839dc3fe-7bde-4790-bc74-54c7b8c0fe46 · outbound

This paper cites Sequence-Level Knowledge Distillation.

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

Reference 364

Resolution
unresolved
no resolver link, observed 2026-08-15T23:32:58.148277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:32:58.148277Z digest=sha256:9056415c65bfa73ae14edbc21123f7610fda4faf069c8021260cbc236cb24264

Observation f7c65cdb-5602-425b-ae37-afdcda639d35 · outbound

This paper cites a photo of a{classname}.

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence a photo of a{classname}

Reference 2023

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T23:32:58.296972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T23:32:58.224956Z digest=sha256:bc4626789c9cc4395163c7ea8ba7e047d8a7324541307dbd230ab627024cfe0b

Pith citing papers

Observation 1b28718b-df86-446b-9849-7abe7f5aa53e · inbound

Balancing Multimodal Learning through Label Space Reshaping cites this paper.

Balancing Multimodal Learning through Label Space Reshaping ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:24:55.682605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T16:20:17.727753Z digest=sha256:14bba5c378f42b7abbfd2c83e2d10d48525b0834ae2ff55f4c367ed8c84ac324

Observation 1a7d23ba-bd5a-4dc7-97bb-009202c9d384 · inbound

BAHSD: Bridging the Long-tail Gap via Adaptive Distillation in Black-box Sequential Recommendation cites this paper.

BAHSD: Bridging the Long-tail Gap via Adaptive Distillation in Black-box Sequential Recommendation ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T04:56:39.148582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T08:41:42.421943Z digest=sha256:df23469be9d9d0356f44e5deacc00e67bc6c042e3d98d3f5f1920280c9408f07

Observation fdb004bb-8a7a-4662-87d3-2d34822da537 · inbound

PRIDE: Privileged Information-enhanced Distillation for Empathetic Dialogue Generation cites this paper.

PRIDE: Privileged Information-enhanced Distillation for Empathetic Dialogue Generation ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:39:45.635129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T08:37:10.149519Z digest=sha256:0edd76cdf935f71329e26220e200135db8b3ac03bd79da6cc02d0e913b5f7970