Paper Citation Record · LEDGER

Cross-architecture universal feature coding via distribution alignment

As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 2 inbound Pith citation observations for arXiv:2506.12737.

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

pith.paper-citation-record.v1
2506.12737 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:47:53.287915Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:39:11.634193Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:47:53.397759Z

Reference resolution

24 of 24 outbound references displayed

verified exact2
verified fuzzy18
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a12bf7fd-26d2-4b67-a847-8029765c936b · outbound

This paper cites an unresolved cited work.

Cross-architecture universal feature coding via distribution alignment Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:47:53.881444Z

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 fb99db2e-4874-4b95-9080-3938b24ce23c · outbound

This paper cites Feature Format Alignment We begin by introducing the feature extraction mechanisms in CNNs and Transformers, as illustrated in Fig.

Cross-architecture universal feature coding via distribution alignment Feature Format Alignment We begin by introducing the feature extraction mechanisms in CNNs and Transformers, as illustrated in Fig

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.867765Z

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 5f23147b-d98f-4d2b-b6cd-f64b23e489ad · outbound

This paper cites Training Details We construct our training set by randomly selecting 10,000 images from ImageNet.

Cross-architecture universal feature coding via distribution alignment Training Details We construct our training set by randomly selecting 10,000 images from ImageNet

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.853213Z

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 5d24f4a8-e8d5-47dd-b70f-bdffae2aa6a8 · outbound

This paper cites We proposed a two-step align- ment strategy to unify heterogeneous feature representations.

Cross-architecture universal feature coding via distribution alignment We proposed a two-step align- ment strategy to unify heterogeneous feature representations

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.838372Z

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 3a3fb84e-7771-412d-87f7-cb202f1ac8f6 · outbound

This paper cites Video feature compression for machine tasks,.

Cross-architecture universal feature coding via distribution alignment Video feature compression for machine tasks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.580091Z

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 be93d66b-9da8-4ff9-b69c-ce8d34273698 · outbound

This paper cites Scalable image coding for humans and machines,.

Cross-architecture universal feature coding via distribution alignment Scalable image coding for humans and machines,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.778208Z

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 3a01a58a-dcb8-442b-8e2a-f7da0060b70e · outbound

This paper cites Non-semantics suppressed mask learning for unsuper- vised video semantic compression,.

Cross-architecture universal feature coding via distribution alignment Non-semantics suppressed mask learning for unsuper- vised video semantic compression,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.726995Z

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 40575560-c4e6-44a0-acb6-d8a28ce3466a · outbound

This paper cites Image coding for machine via analytics-driven appearance re- dundancy reduction,.

Cross-architecture universal feature coding via distribution alignment Image coding for machine via analytics-driven appearance re- dundancy reduction,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.688426Z

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 d0342dfd-5a10-4348-978c-e2ce8759185b · outbound

This paper cites HMFVC: a human–machine friendly video compression scheme,.

Cross-architecture universal feature coding via distribution alignment HMFVC: a human–machine friendly video compression scheme,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.630540Z

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 2601e6f2-a1b4-4eb1-815e-fc5cb3cf1369 · outbound

This paper cites Deep feature compres- sion for collaborative object detection,.

Cross-architecture universal feature coding via distribution alignment Deep feature compres- sion for collaborative object detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.499692Z

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 884e11e4-df13-41fa-89b2-e79c581261b3 · outbound

This paper cites Multi-task learning with compressible features for collaborative in- telligence,.

Cross-architecture universal feature coding via distribution alignment Multi-task learning with compressible features for collaborative in- telligence,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.561992Z

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 b44eb021-e908-473b-8765-98701c7c5945 · outbound

This paper cites Bit allocation for multi-task collaborative intelligence,.

Cross-architecture universal feature coding via distribution alignment Bit allocation for multi-task collaborative intelligence,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.546625Z

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 759a88e6-609c-4305-b406-ccf69c1b3e4f · outbound

This paper cites Toward scalable image feature compression: A content-adaptive and diffusion- based approach,.

Cross-architecture universal feature coding via distribution alignment Toward scalable image feature compression: A content-adaptive and diffusion- based approach,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.530339Z

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 30cc6f17-13fc-4463-9d04-88e624c819ca · outbound

This paper cites Call for proposals on feature compression for video coding for machines,.

Cross-architecture universal feature coding via distribution alignment Call for proposals on feature compression for video coding for machines,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.515032Z

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 aa7a03f3-50ef-4f90-b5a3-89613ccedbeb · outbound

This paper cites End-to-end learnable multi-scale feature com- pression for VCM,.

Cross-architecture universal feature coding via distribution alignment End-to-end learnable multi-scale feature com- pression for VCM,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.419098Z

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 964b9594-6bec-49a4-809c-e83a0e8163c5 · outbound

This paper cites Overview of the MPEG-CDVS standard,.

Cross-architecture universal feature coding via distribution alignment Overview of the MPEG-CDVS standard,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.482040Z

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 27229490-2beb-43dc-a128-9183a7f1721a · outbound

This paper cites Learned image compression for both humans and machines via dynamic adaptation,.

Cross-architecture universal feature coding via distribution alignment Learned image compression for both humans and machines via dynamic adaptation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.466122Z

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 bf8a8c27-0008-427c-89ec-1054e7eeb3e2 · outbound

This paper cites Cross-architecture universal feature coding via distribution alignment.

Cross-architecture universal feature coding via distribution alignment Cross-architecture universal feature coding via distribution alignment

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:47:53.402766Z

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 2ee0e5de-169b-4f58-b940-2770a08d798d · outbound

This paper cites IMOFC: identity-level metric optimized feature compression for identification tasks,.

Cross-architecture universal feature coding via distribution alignment IMOFC: identity-level metric optimized feature compression for identification tasks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.450625Z

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 758dcad1-1c6a-4bd1-9cdf-9508e4f6548a · outbound

This paper cites MSFC: Deep feature compres- sion in multi-task network,.

Cross-architecture universal feature coding via distribution alignment MSFC: Deep feature compres- sion in multi-task network,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:53.434811Z

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 0971ed77-c6fc-40b2-9929-ee41b2cbee2c · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Cross-architecture universal feature coding via distribution alignment DINOv2: Learning Robust Visual Features without Supervision

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:47:53.275015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a417b42a-4cac-40e1-b839-8a03499dce69 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Cross-architecture universal feature coding via distribution alignment DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:47:53.279339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 795e52ae-b18f-41e3-892f-437a221b8c3f · outbound

This paper cites Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark.

Cross-architecture universal feature coding via distribution alignment Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:47:53.347796Z

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 a1ae6dd2-7c9f-4a0d-a988-2887946bf059 · outbound

This paper cites Variational image compression with a scale hyperprior.

Cross-architecture universal feature coding via distribution alignment Variational image compression with a scale hyperprior

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:47:53.287915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 73535d0e-cc76-4979-886a-1a972bdf3617 · inbound

Compressed Feature Quality Assessment: Dataset and Baselines cites this paper.

Compressed Feature Quality Assessment: Dataset and Baselines Cross-architecture universal feature coding via distribution alignment

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:11.634193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf8a8c27-0008-427c-89ec-1054e7eeb3e2 · inbound