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Paper Citation Record · LEDGER

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models

As of 13 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2606.11477.

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

pith.paper-citation-record.v1
2606.11477 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T13:03:07.941337Z

measured 18 of 18 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

18 of 18 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48235fcc-88d7-422d-b2d5-d62f1bd93599 · outbound

This paper cites Towards AI-Aided Invention and Innovation , series =.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models Towards AI-Aided Invention and Innovation , series =

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-27T13:03:07.941337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:bd9183e61527fa01220cc467148a223e1235ec2f44d546598cc6c424d30f49a1

Observation 8e62c037-8e4d-4b33-95f7-25f0569ed561 · outbound

This paper cites 2026 , howpublished =.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models 2026 , howpublished =

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-27T13:03:07.941337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:aceb9b8fe943f6481a1b7ebf74f5abd19440796350ab00e548893ed73bb26e76

Observation c79f25e9-4750-4af8-ad50-08a0797c80af · outbound

This paper cites International Joint Conference on Neural Networks (IJCNN) , pages =.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models International Joint Conference on Neural Networks (IJCNN) , pages =

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-27T13:03:07.941337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:6084edf42a87b4cf76aa48aad5b8b4b44919808c4d43ff78b964d3ac6df3aa55

Observation 66935e58-da39-46f3-8b4b-748e741664e8 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models On the Opportunities and Risks of Foundation Models

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T05:47:41.912401Z

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.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:0ff8c278378fb438887a5bb5db934359bbc3c55fe7869d3feffe0be6a492df12

Observation 03405ac9-8c7e-4604-82db-aa9a7c813bf0 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , volume =.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models IEEE Transactions on Pattern Analysis and Machine Intelligence , volume =

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-27T13:03:07.941337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:f5ee2166e599346000f2b7150eebbf677cb6d394b01660eecd2043e34be23d86

Observation 094f027e-47c3-4b39-99d0-bdd3f5b9e536 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-27T13:03:07.941337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:8adc29f6f26440b850001743e0611e74ba2a26bdfa48fb428216e61157b17935

Observation 6bb70dea-eec3-4b43-9851-ce359f44c2e7 · outbound

This paper cites European Conference on Computer Vision (ECCV) , pages =.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models European Conference on Computer Vision (ECCV) , pages =

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-27T13:03:07.941337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:0a12a31baa6abb638502bad0ac31c092c88c81f61432f0301ff3abd8f0a880e3

Observation 24025434-cd5a-46fb-8f90-bc8cd45e04d3 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models International Conference on Learning Representations (ICLR) , year =

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-27T13:03:07.941337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:83842de1684ecaa8c26676878f31bfe3e1e536c73ed1e532e919b3d20f4d2c76

Observation d423f2a0-70df-4ec6-b4e8-ddcf9855702c · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T05:47:41.915002Z

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.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:1859fa06baf51177848fabfabeb33d22c9018218d66ed0bd8f30a1721413e149

Observation 146df89c-b8a2-44bc-b25b-3c7834f32291 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models Advances in Neural Information Processing Systems , volume =

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-27T13:03:07.941337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:eb4cadfcba27b11b239a9a326eefe249178d68e0046b85819b4a201d0ea11acf

Observation ef1ae605-bc50-4308-b92b-e56086257121 · outbound

This paper cites CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T05:47:41.906627Z

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.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:613f5e5ac2bb3c480ade3507b6250a72747810f5beab8da7376d9834ff761069

Observation 51502359-2a58-4d4f-abbb-d235a7321d29 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T05:47:41.903603Z

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.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:ca05c8a66dd83a09750d85024b6c6f88fdc356732c624792fa73d5ef433ec350

Observation 4c737853-bba9-41b9-a391-939a72a8e973 · outbound

This paper cites Science China Information Sciences , volume =.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models Science China Information Sciences , volume =

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-27T13:03:07.941337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:b53138e2f38c7a99644886335a8c3bacaabeb42294e64ba03d529a45d50dd1af

Observation be4f8881-4930-4640-bda5-f3e88c0218df · outbound

This paper cites Representing Online Handwriting for Recognition in Large Vision-Language Models.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models Representing Online Handwriting for Recognition in Large Vision-Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:47:41.909786Z

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.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:b13a1a35333f595e0615aea3a1f9c388e32146e2c9368b002a484bf3acceea61

Observation ec361f92-5db2-4a30-b285-2575f67b6749 · outbound

This paper cites Journal of Documentation , volume =.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models Journal of Documentation , volume =

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-27T13:03:07.941337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:06f846b555c3190ed3fbfaedbe7adc502f5c18f47d25373d3708619489cb769b

Observation 1d23c7fb-3e13-42db-826f-778a90b43f94 · outbound

This paper cites 2020 , note =.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models 2020 , note =

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-27T13:03:07.941337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:b3af55b7aaff70f3c12b87670c419f04e8ccd67168b88ac4a26407c23d7f01f8

Observation cb5b9b39-2bb4-4581-a554-de84adec1182 · outbound

This paper cites 2026 , note =.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models 2026 , note =

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-27T13:03:07.941337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:f1bc4616f670b9728be41d1fb1205a9ae38663f22fd097d10dd1c79036ede23e

Observation 1d1f0ed9-e2ec-4937-8ed6-be125e0121cc · outbound

This paper cites Qwen3-VL Technical Report.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models Qwen3-VL Technical Report

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-07-03T05:47:41.917410Z

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.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:7208a8972828ad22a7509a74a934eee969cb091b3df7e78d95d7925ef05fa480

Pith citing papers

No inbound Pith citation observations are available.