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Paper Citation Record · LEDGER

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM

As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.06905.

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

pith.paper-citation-record.v1
2607.06905 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T23:20:20.660926Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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 exact1
  • verified fuzzy16
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7d26b26-38fe-4365-9572-40c5257583fa · outbound

This paper cites 2014 , publisher =.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM 2014 , publisher =

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.337193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:9e22d186b1415403f2b99bd5c24d82c98ad03ee5268307d269ad69b60e11b160

Observation 1c9c34f9-c5c4-4cbc-8a8f-ae04da4f2ffe · outbound

This paper cites Lord , title =.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM Lord , title =

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.336935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:a5f88523b8a8cbe3244fd01cac5c2e0c8846460219586c78b429800f261d0939

Observation d9b743b3-62ac-4b9e-acd9-fe9bb8d3bdc2 · outbound

This paper cites 1979 , publisher=.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM 1979 , publisher=

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.325746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:861a0923a1c1f22d3ed6cbd6257fa7352a050a71e2ac0bfe2b69d48baaf11a28

Observation b3c7ee2c-f597-45d7-b286-851846a8fee9 · outbound

This paper cites Journal of Computer Assisted Learning , volume=.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM Journal of Computer Assisted Learning , volume=

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.323878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:b40620bdfae9615be540c6cc8dc6f7c72ef60e35fc75876ed8d7bacd8751e67f

Observation a8217ea5-0d52-468f-971c-2ae36651ead3 · outbound

This paper cites Educational Measurement: Issues and Practice , volume=.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM Educational Measurement: Issues and Practice , volume=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.320480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:6a44ed5e5e5c0b5b2d7ae50fdaf619409ed7a2025bb98b320bf903b3078f25b6

Observation 0396f19f-ff27-4715-be21-da550c067c70 · outbound

This paper cites Tesol Quarterly , volume=.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM Tesol Quarterly , volume=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.329413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:98c80934f148007f886c544b7452dab7ee8bde97cc41812160cc2e93e3f5df9f

Observation 6fe3cb8c-03a4-4869-aa85-b77a225f69d1 · outbound

This paper cites , title =.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM , title =

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.327803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:14a2d4e93290c9733bc5fb524e190abe80e070d295cd282bba30d5fa8d193049

Observation 84ce84af-397f-40b8-b1cf-90acabf37cd2 · outbound

This paper cites Proceedings of the 2021 conference on empirical methods in natural language processing , pages=.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM Proceedings of the 2021 conference on empirical methods in natural language processing , pages=

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.332184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:484e16dcae929fd3f2b03e673b01a18c2dc53e68ee1fa300b2e424ce736344cc

Observation 8b648b84-7b5d-4af2-9eba-b1bc6c7745f2 · outbound

This paper cites Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024) , pages=.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024) , pages=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.327991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:4859e027f4c0149cdce1b3c0d1406e6cf7763b55020daa1539b9e8fbe528c632

Observation 2e759717-2970-4661-abfc-3fd2e48f666d · outbound

This paper cites AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learning.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learning

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-09T23:26:36.876687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:4ac1f135ba0a7c6a5b415af93cd6fc774be27fece1a64b73fda34293b084c13e

Observation 910d97d2-027d-4661-bfa4-55c08112665c · outbound

This paper cites an unresolved cited work.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-07-09T23:26:37.330121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:4fbb0f26fe7abb031bcc037e70f8b42e78ab552a8f46fda7fcfbe47e2c5eedfa

Observation 449cbbac-3e0f-49f0-9dec-a43db334c217 · outbound

This paper cites and Liao, Manqian and Lockwood, J.R.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM and Liao, Manqian and Lockwood, J.R

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.332978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:1d82992bedf2a9869204c5ebd0cafe2fd62f14fb0f32d817ad60946859041646

Observation 34e8120e-b977-4ad4-b268-64ebdc9fc879 · outbound

This paper cites 2021 , publisher=.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM 2021 , publisher=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.330976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:4135bb64423c54a8a1a574097c79c17104bf39921dc046df415c2fae4089292f

Observation c643c25e-8f51-4912-928f-32eb483a756b · outbound

This paper cites and Settles, Burr , journal=.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM and Settles, Burr , journal=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.318608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:1cbb47cb1d9bf3fd90934ca229db698fd640cdec8a9132ebdeff0affd354c3d5

Observation e13804e7-324d-48dd-bc51-076025218bc6 · outbound

This paper cites Frontiers in Artificial Intelligence , volume=.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM Frontiers in Artificial Intelligence , volume=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.312279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:19ddd4b2d113647a0b2feea98dd3f9eb4be5d1d89d63bd0b209003e6ca758eba

Observation e04ffdfb-b74e-4e21-9ece-c69a1506d15a · outbound

This paper cites 2008 , howpublished =.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM 2008 , howpublished =

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.320118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:41caef74898687fe4f5e11e6d452b1f801d7c0088fee1b1ebdc9b307798da90b

Observation 15704da8-599f-4f7c-a743-00f3e092f129 · outbound

This paper cites 2001 , publisher =.

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM 2001 , publisher =

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.325927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:39e23cf659305ad0d32695183af9f98244bb70f05f8a8306b961b72fdd6f67d4

Observation e1c7f82b-9395-470e-b940-015f9eeeb350 · outbound

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

Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM International Conference on Learning Representations (ICLR) , year=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T23:26:37.306271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-09T23:20:20.660926Z digest=sha256:80060a665ba90512d1062c33da7c2e1bfe5b6fb72708717a5ee3fc43ffadadb8

Pith citing papers

No inbound Pith citation observations are available.