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Paper Citation Record · LEDGER

Command A: An Enterprise-Ready Large Language Model

As of 22 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2504.00698.

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

pith.paper-citation-record.v1
2504.00698 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T21:39:23.683913Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T12:15:01.137692Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8b0843d6-e4b1-435a-befd-d9e2821e4c7c · inbound

Reinforcement Learning from Human Feedback cites this paper.

Reinforcement Learning from Human Feedback Command A: An Enterprise-Ready Large Language Model

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:32:01.045486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T19:27:40.991325Z digest=sha256:4425613c2b6b59daea293e14c0165ec0e1c8a139a4df48fb1974e1f3509f2c93

Observation e1bb3a09-446f-4fce-9915-420493a6568d · inbound

LLMs Get Lost In Multi-Turn Conversation cites this paper.

LLMs Get Lost In Multi-Turn Conversation Command A: An Enterprise-Ready Large Language Model

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:11:09.146036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-14T00:57:10.262350Z digest=sha256:b0a80c3970d6105813b2b0c1a97f7ae9aeb9223a08ef04cf651ac68097ff79e9

Observation 0816015d-ebbe-42aa-a83e-6c3c15434433 · inbound

Hybrid Architectures for Language Models: Systematic Analysis and Design Insights cites this paper.

Hybrid Architectures for Language Models: Systematic Analysis and Design Insights Command A: An Enterprise-Ready Large Language Model

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:21:15.133323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T10:18:04.431436Z digest=sha256:4166a047870d41514c642b73a4bd5a565537f9fc4bf3efb5565de0769e86b362

Observation c708a160-6544-44dc-b79d-7f0dbd588af9 · inbound

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference cites this paper.

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference Command A: An Enterprise-Ready Large Language Model

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:00:17.942266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T20:59:33.902420Z digest=sha256:d41e99fe10744ceb019cc8d4c08e10c70b42e8eac85631da4db3832fce961ecf

Observation 10faad80-898f-4764-9fe0-1d8ee6fb7b6b · inbound

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference cites this paper.

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference Command A: An Enterprise-Ready Large Language Model

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-21T12:50:09.454856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-21T12:45:27.150368Z digest=sha256:d0a91e67c1fb8c3a9fccc3d6895f8e2d938ce8e3e577fb5557ff503f7f0dfe5c

Observation 972ed5f8-3fbc-49f4-9131-085b0d4e84a7 · inbound

Anthropogenic Regional Adaptation in Multimodal Vision-Language Model cites this paper.

Anthropogenic Regional Adaptation in Multimodal Vision-Language Model Command A: An Enterprise-Ready Large Language Model

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:50:57.704041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-10T16:29:12.064221Z digest=sha256:f7b851af15154b005882c5ca05f6ebe1aa16a8e6f2f2560d90aa34ad553a550f

Observation 673ac561-df4b-4d9b-8fa1-2e061c454d49 · inbound

NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions cites this paper.

NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions Command A: An Enterprise-Ready Large Language Model

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:50:59.249975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-10T15:48:27.632459Z digest=sha256:02ca3069092f7fa7f9fab3703144204b07d11cb068a20e8d3c1461e31a25f65c

Observation 4add75c8-fd31-41a5-85f8-37ac12fe494e · inbound

Offline Evaluation Measures of Fairness in Recommender Systems cites this paper.

Offline Evaluation Measures of Fairness in Recommender Systems Command A: An Enterprise-Ready Large Language Model

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:06:21.003164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T01:36:17.017933Z digest=sha256:8ffe25be49075f977c6c158ff5cf50228d7ab2c237f01b5bf64f35c02e007652

Observation 31365048-3455-49c3-ae9f-de3c82415d19 · inbound

AgentNLQ: A General-Purpose Agent for Natural Language to SQL cites this paper.

AgentNLQ: A General-Purpose Agent for Natural Language to SQL Command A: An Enterprise-Ready Large Language Model

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:43:12.540123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-20T10:41:17.671666Z digest=sha256:ca0413dd3ecce1192ddd72c672d291047eac7acb0b9c9d8b4a0c0d25ccdcc7a9

Observation 551efeff-8943-4f4c-be9b-5233fc13801f · inbound

On the Limits of Model Merging for Multilinguality in Pre-Training cites this paper.

On the Limits of Model Merging for Multilinguality in Pre-Training Command A: An Enterprise-Ready Large Language Model

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:23:58.243247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-06-29T21:21:04.538174Z digest=sha256:5549d1f09d4154700045ca54f4b396da20b6e84a5e490622999df49b15b5117f

Observation befdded9-7860-477f-85a4-57620bef0a55 · inbound

AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection cites this paper.

AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection Command A: An Enterprise-Ready Large Language Model

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-12T21:39:23.683913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T21:39:23.683913Z digest=sha256:d4e3d7a3db2fdabb6213215ffb556729c4dae2389aef515bcd33f70c444e4b80

Observation 84f9e2e4-3c48-4ded-8769-3eea63dc4bc7 · inbound

Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators cites this paper.

Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators Command A: An Enterprise-Ready Large Language Model

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T19:07:18.234439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-06-27T21:39:26.268337Z digest=sha256:b8ea42bbc7def27fe7827551a222422a2133d34ecb20fabc36cd2648c636c2ae

Observation a26dd1f8-bb92-4ba3-99ae-244df4f1de7b · inbound

CALIBER: Calibrating Confidence Before and After Reasoning in Language Models cites this paper.

CALIBER: Calibrating Confidence Before and After Reasoning in Language Models Command A: An Enterprise-Ready Large Language Model

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:39:58.411522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-26T00:19:10.687624Z digest=sha256:1ded82ec52bd320de6b244999e0bd5d31439cec675dc627ec9d0d1ecbf11e985

Observation f935d1a5-bc81-408c-9ec7-f73d4f254aa4 · inbound

Think in English, Answer in Korean: Efficient Adaptation of Multilingual Tool-Using Agents cites this paper.

Think in English, Answer in Korean: Efficient Adaptation of Multilingual Tool-Using Agents Command A: An Enterprise-Ready Large Language Model

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:35:42.416551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-07-01T05:21:33.075664Z digest=sha256:e6d5b1e43dd4f02abdb70173b9696bdd05bc4cb586552d7ad30eda3bb0a35a59

Observation 805c5a8f-3c46-4a35-91f0-e598084a08c3 · inbound

PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages cites this paper.

PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages Command A: An Enterprise-Ready Large Language Model

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-07-08T19:15:30.262226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-07-08T19:08:06.748619Z digest=sha256:5da3b9494fb8c570797c2964f65dee41a582f0ab59aec70f5c183de9a805da0c