Paper Citation Record · LEDGER

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels

As of 12 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2508.06346.

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

pith.paper-citation-record.v1
2508.06346 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:51:44.522239Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

verified exact1
verified fuzzy11
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 286578b6-964f-4e04-a077-cf975ccd97b8 · outbound

This paper cites Natarajan, I.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Natarajan, I

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:51:44.805459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 86f0de28-92b7-4d47-b818-414a5368f2df · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.798250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4d746b9b-8b2f-4a27-a134-614ac499bbe7 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.791144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fbb0e8fa-c825-49e8-97f8-0e8edac99341 · outbound

This paper cites Zamora, A.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Zamora, A

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:51:44.783726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 63dc739e-c66f-453e-94d6-3cc20b8e867e · outbound

This paper cites Kumar, U.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Kumar, U

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:51:44.776255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9e7cc1dd-f386-4508-8c07-16e2319e2bb1 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.768926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8d744f7d-9bd7-49e1-8c65-7f8e4b654b5b · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.761324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 956634ff-8c3d-4b24-b224-8288de193191 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.754103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dc455c8a-8fd3-4987-a243-0ca9a875c7ae · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.746273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0af41e70-9a07-44ef-a3ac-444cf1b9eb08 · outbound

This paper cites Patrini, A.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Patrini, A

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:51:44.739093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8e9a1075-31e2-4a89-afaa-ceec87ba57d7 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.731968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7851624e-529d-464e-acc7-85cd30d08205 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.724769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1cc3bdcc-e79a-4acb-9288-4b8b62caab53 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.717495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 07ecae90-60dd-4094-8ccb-73db7bf73254 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.710078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 53b806ed-96ee-4285-87b3-e2b2517acb06 · outbound

This paper cites Zheng, A.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Zheng, A

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:51:44.702626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6685aab3-5360-4fe5-827e-8c293557dce5 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.695087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 34199304-3969-423a-ba49-31396eb4aaa1 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.687765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e5186767-c8e0-4485-8672-5a3f8595a613 · outbound

This paper cites Englesson, H.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Englesson, H

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:51:44.680797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ecc0e792-204b-42fc-a715-c34961a22163 · outbound

This paper cites Jiang, Z.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Jiang, Z

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:51:44.673679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b8a20da3-673b-4032-b14f-55a9b02fd169 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.666428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ca9c4ff3-3e7d-4516-b46f-724d33081fd0 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.657855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bf392996-f4d1-41c3-bcc8-2337175d128e · outbound

This paper cites Mitigating Label Noise on Graph via Topological Sample Selection.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Mitigating Label Noise on Graph via Topological Sample Selection

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:51:44.549229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8db53591-7e72-4a24-b971-f713f8557d1a · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.649599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 821aa295-934c-4978-9178-a58dd7aef2c2 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.641689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e281aa0c-075b-4c64-8b79-7f8ea5f583b7 · outbound

This paper cites Tanaka, D.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Tanaka, D

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:51:44.634355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a7a21984-9df3-4d3e-bfd4-237cbb952c9e · outbound

This paper cites Ghosh, H.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Ghosh, H

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:51:44.626933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation abafc396-2d6c-41f0-8d01-e7c6ce01495d · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.619831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7af4a05b-7595-4ffd-9649-cdaf6c625d02 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.612595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 665ce2f8-b3c7-410d-a735-d8fafacbc6e2 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.604397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d7310eaa-3bda-46bb-ad14-862cbb997328 · outbound

This paper cites Zhang, M.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Zhang, M

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:51:44.596623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1f9bbb38-03cd-4d9a-9a1f-347a4e10c400 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.588332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bf32472d-842a-49c1-8706-50130de71741 · outbound

This paper cites Englesson, H.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Englesson, H

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:51:44.580646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 86436248-339a-4f67-8e4a-a0e59ab5464c · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.573214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 85de6bdd-54d5-4cb1-b85b-15e39f2e5638 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.565347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2d5f664c-5374-4636-b8b1-b89a8b683919 · outbound

This paper cites an unresolved cited work.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:51:44.557606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.