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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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:ec17ca409f279a3ea2a893bd532acba66e72f921aee2ca8385e4906247cdbfc2

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=sha256:6b609fdad946f9c7184d8712594d1369e9f528b9f39a1e82c2bc58fa9b4b8d23

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:cd8fa79f5e42b5ab9463a17de9400e85c056e7fd5ee4830e80330e862afcfb3a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:898630f3611d9e5406fae327d6b45dc588b5a1090ae8241f36928ff39ef8cf5b

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:ab4e0b59cd139e0d5e5a62517a0078addda81d0a7d3963cbd62305d387ae6e1c

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:e9f37f5baa74b717b34dc4caee30280631db09c9a18ba2951f9b7280f8a3e600

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:c0ea8eb8cb64d27bf68010793664f5c8133070b0aa3eba3e7f212ac5ddad7a96

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=sha256:3edda147796b47a3c08a80e165cc257dd53fca3efa83efd48b9e01c342ac128b

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:2e06acf55352a9c705811ec8e818d2249b217f3c51f889536c9d3fca220f1c87

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=sha256:775658d9159bd5fb0985d32933e15f33540a3e1e19264ab7bccb485aab7e7b50

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:3b34bd924bfe8577677c0934ea862b193957189e73fdde4f37136b6acbf05aa6

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:dd6cfba07965e1d86e0f9a80714f20b7178a9e5a2333afe058a0d6e623f0a633

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=sha256:6326006651575bfacf3bd69a29d41bad2605d11c42b8438afac08bc5db1d1158

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:93cecca8dbf55bc830f9df3719bbed63d280d7293f62c96b913b8ed5e18e736e

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:d558ffe0acc9de4c4b7e16a28a1fa7684d08bdac14a65159d475cfc34d5470cd

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=sha256:8bbcf93e067473f919917de70e857f9c43867024dfa2b80e0e65cb1fc7c838cd

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=sha256:34a233d72b373e03f42723e6a3c959cc1b23e16e44f548ba68a4ca58c2edceed

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:77570cdd0334dcca52c90f646f5ac75503849b285ef4f79fe4efd604c89589d8

Pith citing papers

No inbound Pith citation observations are available.