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Paper Citation Record · LEDGER

Can a Large Language Model Learn Matrix Functions In Context?

As of 13 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2411.15675.

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

pith.paper-citation-record.v1
2411.15675 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:04:41.102435Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 646f3708-a966-4c26-bf40-453f6de747b0 · outbound

This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

Can a Large Language Model Learn Matrix Functions In Context? Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T14:04:41.037339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:04:41.037339Z digest=sha256:d06a72660d611b3b3344a8a6031ca9a7d475ad6c5f60abcf8da7da571d002ba9

Observation e2a3b4f7-24ac-4f7b-b0c5-d38af4ced26b · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Can a Large Language Model Learn Matrix Functions In Context? Chain-of-thought prompting elicits reasoning in large language models,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T14:04:41.042383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:04:41.042383Z digest=sha256:86f75f9d9c251a770a763f5d98ca3b5de704a235b5427c23552dd5207dfac8d0

Observation d5afc16e-6308-4c79-a149-4fddc691429a · outbound

This paper cites Meta-in-context learning in large language models,.

Can a Large Language Model Learn Matrix Functions In Context? Meta-in-context learning in large language models,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:04:41.320158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:04:41.046484Z digest=sha256:78620e79b339ff72c64fb80e91516a54dddec7da59e1a419cf36b8f6deb4d1e8

Observation edbfd8bf-20c5-4256-ac2e-80c9ec6a4b5f · outbound

This paper cites Talk like a Graph: Encoding Graphs for Large Language Models.

Can a Large Language Model Learn Matrix Functions In Context? Talk like a Graph: Encoding Graphs for Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T14:04:41.050994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:04:41.050994Z digest=sha256:b2189c3573d1e068c03b994caad91912488c9f4ad8932a8b918505da3e1024d1

Observation 00af08be-1639-4857-94ab-70abd215c29a · outbound

This paper cites Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning.

Can a Large Language Model Learn Matrix Functions In Context? Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T14:04:41.055886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:04:41.055886Z digest=sha256:dc5ac1494bf3a5a45167db539119b25402b1d6fa70bebdc72c04df6ebe8484db

Observation 8b4bf140-4722-4cb2-8198-98a69d03aa9c · outbound

This paper cites an unresolved cited work.

Can a Large Language Model Learn Matrix Functions In Context? Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:04:41.306169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:04:41.060873Z digest=sha256:5e63b15822eb96a67c4a93e26511483215d77e0e2e16714fb21c641f57cf0b43

Observation a61934ea-e660-48bd-aca8-495edd2675bc · outbound

This paper cites an unresolved cited work.

Can a Large Language Model Learn Matrix Functions In Context? Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:04:41.287911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:04:41.065960Z digest=sha256:842e9e8a8663fbb8eb6949f0bda22705e567137004387a37fe00f4f7a34753d4

Observation c64e3094-086b-4c9c-adfd-0530c0dc8ea4 · outbound

This paper cites Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization,.

Can a Large Language Model Learn Matrix Functions In Context? Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:04:41.274873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:04:41.070088Z digest=sha256:1e899e1d54a50ea9136615d2e127a488030d5657e3b8ed0a520d7cde53ad7b8a

Observation e04919b3-82c8-4b36-a1f3-f9b5f59ef7be · outbound

This paper cites Sv-learn: Learning matrix singular values with neural networks,.

Can a Large Language Model Learn Matrix Functions In Context? Sv-learn: Learning matrix singular values with neural networks,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:04:41.260774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:04:41.075343Z digest=sha256:c0c8be3d40cf86c9b5e1f5fa61cf34dac071b5134643a62fe639730c5c13343f

Observation 6d40da6b-d480-47b7-bd7b-19c290b85cf0 · outbound

This paper cites Array programming with NumPy,.

Can a Large Language Model Learn Matrix Functions In Context? Array programming with NumPy,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:04:41.248008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:04:41.081332Z digest=sha256:9c7c714c6be99b34efb55488a926efef16bed1f9505f51f7f59de5a51f11def7

Observation 23b87f62-9383-4e4e-9deb-b276f3dedd00 · outbound

This paper cites Random search for hyper-parameter optimiza- tion,.

Can a Large Language Model Learn Matrix Functions In Context? Random search for hyper-parameter optimiza- tion,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:04:41.235004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:04:41.085033Z digest=sha256:aee6ef46cd68965eb2e0ee4e5a5a6b781f2ba18d87bb5ab3e205d330bee2c1c1

Observation 259a0f71-26b6-4b38-ae35-0b2b35279f1c · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Can a Large Language Model Learn Matrix Functions In Context? Gemini: A Family of Highly Capable Multimodal Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T14:04:41.089882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:04:41.089882Z digest=sha256:82ad1959f0b0f05de9562b522397259ba8425c0ffacd1848be5234e734e5907f

Observation 00a016af-56e2-4b7a-9a0d-81e657a08527 · outbound

This paper cites Qwen2 Technical Report.

Can a Large Language Model Learn Matrix Functions In Context? Qwen2 Technical Report

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T14:04:41.094051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:04:41.094051Z digest=sha256:328e3619b2e020672e8cb9ca14569c82749fec50268139fa66b3e26fe69e63a6

Observation 35d8f3aa-29ec-4d83-89f0-44bb0b09980e · outbound

This paper cites Qwen2.5: A party of foundation models,.

Can a Large Language Model Learn Matrix Functions In Context? Qwen2.5: A party of foundation models,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T14:04:41.098439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:04:41.098439Z digest=sha256:5f2ba87ed204cd3a5832798fd0f982e5ed6f5f710fa897087d51350aec59a713

Observation 17df9282-410b-431f-8b65-ecc2192e13f4 · outbound

This paper cites Hermes 3 technical report,.

Can a Large Language Model Learn Matrix Functions In Context? Hermes 3 technical report,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T14:04:41.102435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:04:41.102435Z digest=sha256:d325d1167958a3fc7ea3ac180a1b4952d031e5d64184cfcdd84c592ee7ab3bd9

Pith citing papers

No inbound Pith citation observations are available.