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Paper Citation Record · LEDGER

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale?

As of 15 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2412.05137.

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

pith.paper-citation-record.v1
2412.05137 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:54:13.745082Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:22:52.690010Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation ee21fc96-40c7-494c-91ad-ba6e28b30ac7 · outbound

This paper cites URL: " 'urlintro :=.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? URL: " 'urlintro :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:13.635513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:54:13.635513Z digest=sha256:a726c8e03c98cb485bad951750e3d64526d55b1f368076e7a73cbe6252db896c

Observation a3d4b118-cb17-4479-8014-38c9e5688d4d · outbound

This paper cites write newline.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:13.641028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:54:13.641028Z digest=sha256:14bab6ae384c9845cbb54de696a4b951f3534377493f688db8a420a46d347df4

Observation 65421f5e-7f5d-4dcc-8a16-55ce4ae21778 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:13.646127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:54:13.646127Z digest=sha256:6db6bd780ae5e7c2dc4bc5370584721b1f5b6e507784ef9243f7e73bfb441930

Observation 47c085f8-800d-4d22-bec3-f9d968599a97 · outbound

This paper cites SPECTER: Document-level Representation Learning using Citation-informed Transformers.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? SPECTER: Document-level Representation Learning using Citation-informed Transformers

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:13.650662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:54:13.650662Z digest=sha256:01a08b528d3c9cd30c680145c7a4abbf2ed18ae929245e6e2ffb1881c2e0abf2

Observation e9448bc1-2a75-4663-9335-6ac7f80202c8 · outbound

This paper cites Learning Section Weights for Multi-Label Document Classification.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Learning Section Weights for Multi-Label Document Classification

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:54:14.023933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T20:54:13.657324Z digest=sha256:ad8d26dc39b87ec4d82ab7dea80b0a6c03e8428dd57a3a604c398576438783ad

Observation ad2becd9-621c-40d4-8f5c-4a3bc9a7d9bf · outbound

This paper cites Lee Giles, Kurt D.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Lee Giles, Kurt D

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:13.662474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:54:13.662474Z digest=sha256:9db9b81c709480b480736c7a372e6245808cbecf5d454ca27facd2055b31274c

Observation 75f9df5f-c1b0-4644-8afe-591e0ee1d7d9 · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Dense Passage Retrieval for Open-Domain Question Answering

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:13.667518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:54:13.667518Z digest=sha256:4bdd005bca9b0a8ca70bfb68e560cace956767500a9484765d2b87555c801ee4

Observation 2fdb912a-95bd-4028-946d-5aeeef5d530d · outbound

This paper cites an unresolved cited work.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:54:14.188630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T20:54:13.672215Z digest=sha256:c083641576541faae3b85c222c702ca440a77310938f1e96059f3ae9ad95686d

Observation 8a45591e-37d1-4aea-8dfa-81976465ca29 · outbound

This paper cites Recent Advances in Hierarchical Multi-label Text Classification: A Survey.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Recent Advances in Hierarchical Multi-label Text Classification: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:13.677191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:54:13.677191Z digest=sha256:93a3e4b9fa60d1fb20bcab6a2fc4f18ec36557ab9d8de60ac4bda595fcea9f1f

Observation 6ac0a026-a03d-4040-849a-6ac7258b6f6a · outbound

This paper cites an unresolved cited work.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:54:14.171521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T20:54:13.682701Z digest=sha256:c40cca49f680f99fdc5e19127b15d34135c56959936cae7e6d6698de765fffe9

Observation baf41b19-9d40-4631-8f0c-c0a0baf2de79 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:13.687107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:54:13.687107Z digest=sha256:91ba42df34855f2a6c988841c9cca3a255f21d944b51794fa7e868f97b09e31a

Observation bcb104aa-d87f-4853-8e78-bd8fcad6f756 · outbound

This paper cites Multi-Label Text Classification using Attention-based Graph Neural Network.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Multi-Label Text Classification using Attention-based Graph Neural Network

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:54:13.862402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T20:54:13.691669Z digest=sha256:d753b873d56072da5c3c109a63fe4541b4899be7c745981d8599976de987b8ae

Observation eca15ad0-08ca-43fd-be2a-7d68c9e4e39f · outbound

This paper cites an unresolved cited work.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Unresolved cited work

Reference 13

Resolution
verified exact
doi, observed 2026-08-11T20:54:13.784249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T20:54:13.696123Z digest=sha256:74dc25ac2bc8b9b56de7134f1d9de4ef3834f92362e1199a1a96c6c6f29b43c4

Observation 8b465b62-5331-4d46-9190-c6680604cf5b · outbound

This paper cites an unresolved cited work.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:54:14.156241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T20:54:13.700592Z digest=sha256:4658df18c6411736535a4b5b1a8608b8985758d3b7e5d18fa714d076f8cdb46b

Observation 574de408-2bf2-4473-903f-e91e4abe5af0 · outbound

This paper cites SciRepEval: A Multi-Format Benchmark for Scientific Document Representations.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? SciRepEval: A Multi-Format Benchmark for Scientific Document Representations

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:13.704638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:54:13.704638Z digest=sha256:e3e458b314a8796f3ce75a4557878e9336d225b19d9b5f7a640f44a92c791698

Observation 10cb6690-ff31-4a05-8407-363eab802921 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:54:14.139766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T20:54:13.709010Z digest=sha256:2c9e816b8ed8ea7f650dde26562416fde96e0ec246e3f463f818b18f56af4e8d

Observation 8ea1e33e-230f-4aa5-b18a-e0da38359577 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:54:14.124980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T20:54:13.713199Z digest=sha256:22c6a55f05a50526f7c49c21dcf049b0a6f9a6e4b4c05ae1760af36d83f3bc9b

Observation 9e2ff869-c38e-4b7c-a689-bc336e125ee2 · outbound

This paper cites Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:13.717149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:54:13.717149Z digest=sha256:c415c4c7cfae8352f16fc9f962adf1fcb73f783c3d897bd6fe9f8cb955b57ee4

Observation 2e879c40-5352-4854-8203-d91926f77e6f · outbound

This paper cites an unresolved cited work.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:54:14.110326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T20:54:13.721697Z digest=sha256:0235a897648cba48b7a8e1df88dba9b3bd3be8d0113138550f47def941a5f959

Observation 87cdb5ad-8166-4546-a75f-4a9c2ff91465 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:54:14.095121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T20:54:13.726167Z digest=sha256:10e65026178dd360bb3e4bdcf178976c47b0a59ddb7b136a2170155a549af4bf

Observation a8e8caa0-402c-4b1e-9a23-8e86c420f41c · outbound

This paper cites an unresolved cited work.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:54:14.079390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T20:54:13.730987Z digest=sha256:3552d1da6a84242a06a8e0fba657645ca18b2b826186fd2066530ea792cc03b9

Observation 4d7414b0-e3b8-4a31-8109-53e24e654780 · outbound

This paper cites Hierarchical Multi-Label Classification of Online Vaccine Concerns.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Hierarchical Multi-Label Classification of Online Vaccine Concerns

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:13.735379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:54:13.735379Z digest=sha256:b45584578338f7f1dd1289ab7ac1fe08623f4b3e3206e86b53f91647feaae41a

Observation 51ae6210-bcd2-4287-afee-2e29483a8066 · outbound

This paper cites online" 'onlinestring :=.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? online" 'onlinestring :=

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:13.740067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:54:13.740067Z digest=sha256:1d4d487491cf1541acb87e851c26ac56ca71e4a9951e550648f6b65e6eff8da0

Observation fc37c69d-214a-4588-b98e-e0ecb66bf88b · outbound

This paper cites write newline.

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? write newline

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:13.745082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:54:13.745082Z digest=sha256:ec3a7ad071b490074cfa81aaa01efdd5742550498f9b78411b7567d9fe6dfeba

Pith citing papers

Observation 990a8aea-bc9a-4619-8478-4ab8fc046d28 · inbound

Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces cites this paper.

Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale?

Reference 108

Resolution
verified exact
arxiv_id, observed 2026-06-27T22:31:21.545219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T22:22:52.690010Z digest=sha256:e63b463ecd5b739e1bde05bffd6215b722b51d60d2d9910fa9dddd4508046d6c