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Paper Citation Record · LEDGER

Command A: An Enterprise-Ready Large Language Model

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 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 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:07:46.785736Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T19:27:40.991325Z digest=sha256:f45525627bebaf5e10ddcc6ead5ec12d64f56e216f3128ca6de079a2fdf0a651

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T00:57:10.262350Z digest=sha256:41e1404188f7eed8cfba7066b8e8f4dc73c01b0a2acd2a5c66e31a51b542a836

Observation 7f4e9445-30ac-4715-83d3-da502143a5ab · inbound

Democratizing Diplomacy: A Harness for Evaluating Any Large Language Model on Full-Press Diplomacy cites this paper.

Democratizing Diplomacy: A Harness for Evaluating Any Large Language Model on Full-Press Diplomacy Command A: An Enterprise-Ready Large Language Model

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:46.785736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:07:46.785736Z digest=sha256:ff442e57a1f3360488218007819109031cb60f2394d44ec01e59ffe6ba448127

Observation 10d1be87-b661-47e6-acc6-8ad86dda3b6d · inbound

Estimating Machine Translation Difficulty cites this paper.

Estimating Machine Translation Difficulty Command A: An Enterprise-Ready Large Language Model

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-05T20:43:17.195027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:43:17.195027Z digest=sha256:499ef67bd9a07f1412a03962bc39e260403d2a804dba29fcd1e1a97b071a7a8f

Observation 9373ab0d-663d-42e2-a570-f16093917b98 · inbound

Entropy2Vec: Crosslingual Language Modeling Entropy as End-to-End Learnable Language Representations cites this paper.

Entropy2Vec: Crosslingual Language Modeling Entropy as End-to-End Learnable Language Representations Command A: An Enterprise-Ready Large Language Model

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T05:42:49.209352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:42:49.209352Z digest=sha256:9e3922c7072b0dc292f3aecd0f67e61252cda620af3c279e4212542eae33ede6

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T10:18:04.431436Z digest=sha256:733748d9429e5ffbf4e87d98c60681c6ca7755930e932567a7c7edf01e09d3f9

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T20:59:33.902420Z digest=sha256:6d047f565376dab3d0bb7b0a30d6e7e61675565a2f78c9309d5efea2e8adb9e5

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T12:45:27.150368Z digest=sha256:5e7ab6fbd8710f0538d71423474d97b0971aab7a6e86cf6971c584d19834c4d6

Observation ccc6777f-09dd-4e0b-86ee-370dbc594656 · 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
unresolved
no resolver link, observed 2026-08-02T22:05:42.978471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:05:42.978471Z digest=sha256:0181bd43da81d8a5838d41477e23f949868f8fd29202722a2f32774555e23ec3

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T16:29:12.064221Z digest=sha256:c297dc088c46c475d89408c952addc2b4768379372a0030c20776f31094e6a29

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:48:27.632459Z digest=sha256:ac90b259af907b19a1f9febceb255488f0efb930cdbfbd256963ef3e607d144d

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T01:36:17.017933Z digest=sha256:556f6ded3a833f502caf6dd9c69b787db5431666371683294807ab90e1422dd5

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T10:41:17.671666Z digest=sha256:388c1cdd517be95aa19fdeb27047974ad6956562e6bf667edd410d85cbdce2e8

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-29T21:21:04.538174Z digest=sha256:487c9a8c974040429e0ad16b70aae499fefe6d3e25ca33aec3fc269f89009964

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=sha256:0a195cfd63b8f82e9aefd9200de512aa3e0033223c3e2854af5cffe3eeb67c92

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T21:39:26.268337Z digest=sha256:bee1d9cbddc503db7e9c04bf7597ac669e616b19b93de724e5aaea99690fb4f7

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T00:19:10.687624Z digest=sha256:7e90db6dfd8a2dfd6de0887999194266d5da58a22302a88c41b3f237ceaeab75

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-01T05:21:33.075664Z digest=sha256:4a199bc3cf3b2fd16bf5e80871d7a3d6f67d17a806579ac2744c3120a4a1b204

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-08T19:08:06.748619Z digest=sha256:1c3023c38e307507d26936ec1180d9ded7b8b160088db35b364f9dddc1343f1b