Pith. sign in

Paper Citation Record · LEDGER

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.443179Z digest=sha256:0f59978acc4c1983d02096dd6e5662ffc0d2331f5db635162a2e0d09e0686482

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.445998Z digest=sha256:d339848c4b6f2d5d5faf4ea67197a9eb2aa8cf1519dc1742d01b27da0c0b55fc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.448476Z digest=sha256:196d33b104b77bcfbbe9b9d2572c5676121fc92ceb6749a67e456a1789e0eb48

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.450845Z digest=sha256:3e2f6624c5a7cfb2a0f9790d933d4ddd220f0cd0705c007e699eac4de24ee00d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.453415Z digest=sha256:52daf7beb4915d76875431e4d84ff92dcdcb6e2d533fece7abd62c13d05a8628

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.455822Z digest=sha256:84b1f28cb8a8fd8c35f42a89b0314ba2eef76d33e876ba8f481beaead345b311

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.458462Z digest=sha256:4e4edf7045d03f7018c2374a244ee8f86159c672a6c1efbe8174fca2c483929c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.460949Z digest=sha256:73c66cd2776cae3f2856f88e7d45925558617cc6497edf8f8692cfd0abfaf24a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.463270Z digest=sha256:38243463900d508f65182a562da0bcead3954124e14fddd5fe44bf4bbda3dab4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.465562Z digest=sha256:7bc45e7536bb82a8e9f2c7faa8338de627fa03b6b5d5006867e0d8e714277534

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.467847Z digest=sha256:c6b82c6fd26ac9a4e77a4706e0beff9bc91d8de30f0e91c70027b51f077ab49f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.470089Z digest=sha256:6c8f757027fee8375f6ab8c56b4136b477fd241e2d7afd16d96bb9f30a5b21dc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.472457Z digest=sha256:31b1e6df0922d90bc97caf4463a400d11062a6d1a74906209eb539f6ca63ba39

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.474799Z digest=sha256:95c27c3d7c3bdcd9162a309cf479b33855f3a29b963944849a692f2a9a7f4635

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.477142Z digest=sha256:c0077bb1d5be7fd045eb56a6375944313bdb84826e3e92f6cbecabc71f34cef8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.479248Z digest=sha256:c66b9ebbf503169e3c3edb90034c034d256fc042338667c93228ff50575af0a7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.481439Z digest=sha256:66b09dba722de40ebad8f1f2896a92572da40595a26b29ec3428d4c62059e507

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.483612Z digest=sha256:0037676aac0a5698641f76f1513f41c040b032a5b9939f0ea16335d3dc32e862

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.485825Z digest=sha256:9ab940df4f20c29fcd3ca9894e497e862ccbea6938ab7c499ed441b376ae7844

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.488122Z digest=sha256:2c6d3c1bf22a91a06abc1fc0afac700124615f4661000211c5945e0f02535472

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.490409Z digest=sha256:80e398e673614b6c31117433cfed9d362eb0f128d0e68ae697f6b77958557eba

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.492581Z digest=sha256:dc3b9a77d1eda0b5456007bb5beff8151ceda26033edf9f4e45cdd45bf7a3591

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.495395Z digest=sha256:5f8650dea46c5dedcd53e8bbd6bb621c9f81d6c270726a6da2ddfb475e60ff94

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.497516Z digest=sha256:e14bf5dfd6160e0ade7ff6e5ae1bbb95afec99055ed56eda470fa93ea183fbf7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.499647Z digest=sha256:a98b47a9234524ef4c036d39f830b8ce73af8e68d4e16ab77eab738d6616c739

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.502012Z digest=sha256:fb7a2537027eaa6a33aa8ae061ee30e6c64a9955b96b60e49d0732ee2d3d3636

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.504176Z digest=sha256:949c4b6efb34551a14c1d2278d4e53ea49ef85a17dc046de68ed0cf5a3c6888f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.506478Z digest=sha256:ad80500533db363cdd8f83167cd79a884071ddf707923493ee9c4ab12b38df71

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.508792Z digest=sha256:6e18e59ddaae2991033a8929f71eba358fd5749defde6853184447e7255d1639

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.511044Z digest=sha256:8dda3fa14c12e1c9ba0e8f1be0d6fafc44172241a7b31bf5b09545aae8cbe1d6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.513174Z digest=sha256:99791c132a4670e37d27e2783db47e6cf621fe17bf054c4749d54d7c44e3d156

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.515418Z digest=sha256:c2ad042de0d2b9f6f0877dfd5a149ec3f2cdaeaeb2c299669d3673201c369fe8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.517675Z digest=sha256:e4042188336f0085b84b97b8557c06d139db107c81fcfa3b70c289bc744b69fa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.519919Z digest=sha256:24250dabd41906be799c9da985350899dfac4062cb6b02d8bcb311069454b2a5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:51:44.522239Z digest=sha256:08bc68aabe6df3a5e1b28f70495e5da05278a44e082dad68e671c9c688bb5e11

Pith citing papers

No inbound Pith citation observations are available.