Paper Citation Record · LEDGER

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models?

As of 14 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.06155.

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

pith.paper-citation-record.v1
2607.06155 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T15:07:13.132354Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

21 of 21 outbound references displayed

verified exact0
verified fuzzy19
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0b783300-ed71-42aa-bd9f-848e19bec19d · outbound

This paper cites International Conference on Learning Representations , volume=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? International Conference on Learning Representations , volume=

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.733192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 81175edd-8ae3-498b-8515-6faf939a3275 · outbound

This paper cites On the Expressive Power and Limitations of Multi-Layer SSMs.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? On the Expressive Power and Limitations of Multi-Layer SSMs

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T15:15:03.413504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 58776c97-dd09-425d-bbd0-5c2bd88e3544 · outbound

This paper cites Fundamenta Informaticae , volume=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? Fundamenta Informaticae , volume=

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.765550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ca310de3-a02d-4552-93e2-0775144ea5a1 · outbound

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

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? International Conference on Learning Representations (ICLR) , year=

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.716385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 68d29ad6-72fc-423e-8b2d-f169bb98c5d0 · outbound

This paper cites First Conference on Language Modeling (COLM) , year=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? First Conference on Language Modeling (COLM) , year=

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.760472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c5e3b081-1aec-487c-b403-b3c0642b3291 · outbound

This paper cites International Conference on Machine Learning (ICML) , year=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? International Conference on Machine Learning (ICML) , year=

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.757620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d0553e40-c6fd-44f4-a412-c2d8c3b8c435 · outbound

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

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? Advances in Neural Information Processing Systems , volume=

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.762983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50666fb4-ba6b-4ff4-a71f-3e1db63725c1 · outbound

This paper cites International Conference on Learning Representations , volume=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? International Conference on Learning Representations , volume=

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.770397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fe4271ef-39ff-44f2-936a-b05b10bad520 · outbound

This paper cites Proceedings of the fifth annual workshop on Computational learning theory , pages=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? Proceedings of the fifth annual workshop on Computational learning theory , pages=

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.766456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4683184c-5229-4fe5-a479-7b6624da74ae · outbound

This paper cites Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , pages=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , pages=

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.755396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation da72b8b6-e17b-43e7-bfc6-f0c08ef84c26 · outbound

This paper cites Proceedings of the Workshop on Deep Learning and Formal Languages: Building Bridges , pages=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? Proceedings of the Workshop on Deep Learning and Formal Languages: Building Bridges , pages=

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.757403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fa52ec03-7fcd-4f20-aa02-db794e708c0c · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? Transactions of the Association for Computational Linguistics , volume=

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.759500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 495a03f4-ca7b-4a71-9442-ac2e4fea952d · outbound

This paper cites International Conference on Learning Representations , volume=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? International Conference on Learning Representations , volume=

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.761615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c0be9d76-5b29-4bc3-8d2d-ebfccf01a25a · outbound

This paper cites Journal of Machine Learning Research , volume=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? Journal of Machine Learning Research , volume=

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.749328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d6c3c9bf-9c7a-40d0-a75a-af2e35dcf3b4 · outbound

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

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? International Conference on Learning Representations (ICLR) , year=

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.741420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 442114fb-52f4-4994-aa6d-6bca81aef76d · outbound

This paper cites Advances in neural information processing systems , volume=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? Advances in neural information processing systems , volume=

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.745875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fee87981-10cc-49ae-941b-7e88b624d6a7 · outbound

This paper cites an unresolved cited work.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-07-08T15:15:03.748493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50f1cf63-cb09-4bc5-af0b-666b2200f540 · outbound

This paper cites ICLR 2022 Workshop DL4C , year=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? ICLR 2022 Workshop DL4C , year=

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.752037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 62ba4603-8af4-477d-ba3f-1cdbc094bda6 · outbound

This paper cites First conference on language modeling , year=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? First conference on language modeling , year=

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.768633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d6d226e-f67b-476a-bbeb-96b9028f2712 · outbound

This paper cites Advances in neural information processing systems , volume=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? Advances in neural information processing systems , volume=

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.768352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a3886d0-5630-4e86-a19c-866138741bcb · outbound

This paper cites Advances in neural information processing systems , volume=.

When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? Advances in neural information processing systems , volume=

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:15:03.735653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.