Pith. sign in

Paper Citation Record · LEDGER

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text

As of 14 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 2 inbound Pith citation observations for arXiv:2501.03212.

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

pith.paper-citation-record.v1
2501.03212 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:56:53.725009Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:26:32.793453Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T05:44:38.907963Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact3
  • verified fuzzy8
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb087070-e84a-4999-ba40-eb775dacfd1a · outbound

This paper cites D., Umar, M., & Bakale, M.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text D., Umar, M., & Bakale, M

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:54.158515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.613283Z digest=sha256:ecc066d803754a27ba60423fdbc89380264e6ab7e66e59670dc85afe31b10f3b

Observation 8e0462d5-da3f-4721-940e-7f2eb3ad3c19 · outbound

This paper cites an unresolved cited work.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:54.145273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.618033Z digest=sha256:5fd1e6617626ff8ca28f804eccbb90b7e3885021a99f1c6d3ecf2b64e7da83dc

Observation 95661763-34b4-4006-9b31-74f68427acab · outbound

This paper cites an unresolved cited work.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:54.132525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.622193Z digest=sha256:5b5a4a64aca81c259f292a4032333fc4e70e9c56a6e36123c214a012ee9f065e

Observation a2d278f1-fda7-4c26-91d2-6d57ca22443c · outbound

This paper cites an unresolved cited work.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:54.118908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.626016Z digest=sha256:bab2e55473dfc777843973e55fb91e04a208089090dd6cfd0944c3355ee94684

Observation 999f3cdc-717d-4659-9703-9bf79670532a · outbound

This paper cites an unresolved cited work.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:54.105756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.630290Z digest=sha256:679f57a193ce1395f92fb69b6bac1dd25daa73c55c8e44501e0195bca323fe3f

Observation 6f458cc6-8d49-497f-bbe9-ef06b0f64b83 · outbound

This paper cites an unresolved cited work.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:54.093245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.634153Z digest=sha256:dde6ebff0e2c3bb88917e9ff085933987ce733d57fb16f2a2d1aa179c8cbbc4d

Observation 40945e64-078d-477b-af51-9f6fb84e7821 · outbound

This paper cites an unresolved cited work.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:54.078785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.638824Z digest=sha256:b3ee046a54af71bab87809091cb89b1e004bdc7b2c7bf8dfe07844c10c906cf6

Observation 9d4a8cd9-324f-418b-9974-fa4ea2989771 · outbound

This paper cites U., Qureshi, R., Shah, A., Irfan, M., Zafar, A., Shaikh, M.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text U., Qureshi, R., Shah, A., Irfan, M., Zafar, A., Shaikh, M

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:54.065305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.642815Z digest=sha256:4fd7564cdff8177df8921f6887c5dc207c34d5e1a4b6b6963d913c4e338e539d

Observation 31caef3d-c04b-4e00-b5b3-9eb6d08c8e0f · outbound

This paper cites The Imitation Game: Detecting Human and AI-Generated Texts in the Era of ChatGPT and BARD.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text The Imitation Game: Detecting Human and AI-Generated Texts in the Era of ChatGPT and BARD

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:53.646710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:53.646710Z digest=sha256:e9c955099c4185f89ec2fcbe624aaa18ef4155361d61b968da2d6e5fa6f6a829

Observation 15f71d85-e225-46d6-a8b8-256fdf0f6fd3 · outbound

This paper cites an unresolved cited work.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:54.051805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.651203Z digest=sha256:d99a04389b02b115efdc409228ad17ce82009f1e317515ce25493308796e0f53

Observation b1fa18c9-ca99-456f-bafa-a0ffc05fb1ba · outbound

This paper cites others (2019).

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text others (2019)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:54.037942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.655722Z digest=sha256:8620b7bb62921509445854255379525d3749755aad5bd1f0e2ec53b388764ee4

Observation 1f023f7f-a5d8-4242-8cc5-2bd8a0016cb1 · outbound

This paper cites I., & Elhenawy, M.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text I., & Elhenawy, M

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:54.024559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.659779Z digest=sha256:a0c5d17dffab1011bcbff79e5f007e3060c6f2876408131746d4c61891deec57

Observation 54d29dc4-3688-4c99-a806-8517f5388195 · outbound

This paper cites (2024, 7).

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text (2024, 7)

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:54.010119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.663842Z digest=sha256:aa130c972717f42bb343cf039529aec7ba2b4403b7b5753ab813959b695541ca

Observation a02bb70c-5ba8-4856-8299-0baa29df3e5a · outbound

This paper cites an unresolved cited work.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:53.995026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.667933Z digest=sha256:60b03bc85bbf56b3bdfe41b541ed8cf6a09834b5a3004646d37f1e9a9ad0685b

Observation bd79f17a-a2de-47e3-824d-167c4757ca25 · outbound

This paper cites K., Chua, M., Rickard, M., & Lorenzo, A.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text K., Chua, M., Rickard, M., & Lorenzo, A

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:53.980776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.672236Z digest=sha256:572593566f1f99777ada42b848c98b1393264bf0a1fa1e50ffc8e1b4a4d1227a

Observation e9831304-d61b-47b3-8d9f-17a4631c27b1 · outbound

This paper cites an unresolved cited work.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:53.966976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.676198Z digest=sha256:8f7934983c85758aca48da78ef209c2aec55c8bbab98f68ebe271acb15cb5ac7

Observation 318b0999-fb4f-453a-8235-5e7f7c02917f · outbound

This paper cites Transformer Models in Education: Summarizing Science Textbooks with AraBART, MT5, AraT5, and mBART.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Transformer Models in Education: Summarizing Science Textbooks with AraBART, MT5, AraT5, and mBART

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:56:53.839877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.680366Z digest=sha256:14750a3175d45843611c8a57c61fb756873748096f42e5217487364a1d046050

Observation ee3debe2-1210-4f10-9dbd-ebe6fb0055d7 · outbound

This paper cites an unresolved cited work.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:53.953098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.684549Z digest=sha256:add1a0d1b46c5155b32d5dff042bce2273409b961b26612efd2c5b2ba65a755f

Observation 40afa2ff-35a7-4772-b4d8-3c6ec6990274 · outbound

This paper cites Detecting LLM-Generated Text in Computing Education: A Comparative Study for ChatGPT Cases.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Detecting LLM-Generated Text in Computing Education: A Comparative Study for ChatGPT Cases

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T21:56:53.820450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.688166Z digest=sha256:1fac6bc8fea78d17f26be53ba66c38f5bab4346582eebdeca4222372b4aead80

Observation cd58b1f7-22fc-4797-b4ec-bfb11466e527 · outbound

This paper cites an unresolved cited work.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:53.939124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.692397Z digest=sha256:710c90eef665d07b3ba5954b8342cbf84e8db39f55dc92364d7be18b453b3f2c

Observation 8ee5163f-1c20-4fae-9653-b56952b86e71 · outbound

This paper cites Question-Answering (QA) Model for a Personalized Learning Assistant for Arabic Language.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Question-Answering (QA) Model for a Personalized Learning Assistant for Arabic Language

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:56:53.800864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.696328Z digest=sha256:094eaf4a787f08b693abf67cc94e4f2c4b285adbcf6dc710d16ebb92cea1702e

Observation f894a993-558c-405c-ace8-b477d4ca99c5 · outbound

This paper cites an unresolved cited work.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:53.922803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.700504Z digest=sha256:19be5e348feab62685649d97e4ce2066759312dc41d458c643c8ddc6c348eb42

Observation 46f2cf02-ae0d-4db4-a401-8048afb84572 · outbound

This paper cites (2024, 7).

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text (2024, 7)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:53.909136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.704374Z digest=sha256:c25ab8dac9861c9fa6dedfbc3302e321aa8e4ffa8f57af5a3e1f03d065281c0d

Observation fdf42f0c-01f2-470c-989b-ee53f8055f76 · outbound

This paper cites an unresolved cited work.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:53.895830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.708342Z digest=sha256:847a2475176cec471d1ce40d9f0428c50208f5003b70204e04e2b4390457a671

Observation 7ca73eec-37c2-400c-8527-90aa0564401c · outbound

This paper cites Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:56:53.781646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.712731Z digest=sha256:c0e91a02227a676f963e10b7ee505852d1353a131f89286c72c072550534235b

Observation 76fe4842-2aa0-4218-af51-8ec88236db34 · outbound

This paper cites an unresolved cited work.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:53.881615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.716778Z digest=sha256:facc08ae737c7e082ab7e1c001da5c4208c35fed657b353c5a304b1bcf5ef443

Observation cad109e8-c36f-4174-a68b-b0814d5e123a · outbound

This paper cites (2024, 7).

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text (2024, 7)

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:53.868252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:56:53.720838Z digest=sha256:7b26f7e2ff83d58ab340136934cf8ee4f23c0025a77d657c82e648346f2e3414

Observation 746f01d0-1dce-40b4-ba17-6bb9cdf4c8ea · outbound

This paper cites A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions.

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:53.725009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:53.725009Z digest=sha256:0e39bd43e725368315266606c99b0a6d2fb4c1fde0775b014253e67f87a789b1

Pith citing papers

Observation ed4a0339-e4b5-4748-b2ef-9393a8aeeaa8 · inbound

Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry cites this paper.

Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T12:26:32.793453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:26:32.793453Z digest=sha256:cd626bd5437f7e8e122589f7a0fded0c6fdc428fb1c8bd30337df89304bbb6ee

Observation 61c1713f-adf4-40d5-b7a0-0d48e3e398f3 · inbound

Seeing the Poem: Image-Semantic Detection of AI-Generated Modern Chinese Poetry with MLLMs cites this paper.

Seeing the Poem: Image-Semantic Detection of AI-Generated Modern Chinese Poetry with MLLMs Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:44:38.910517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-22T05:41:37.202937Z digest=sha256:5ca8c605ca5a93ab5e653892227261d16518821e1d26d52730d7a38260b69b0d