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Paper Citation Record · LEDGER

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models

As of 21 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 3 inbound Pith citation observations for arXiv:2502.08009.

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

pith.paper-citation-record.v1
2502.08009 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:11:42.806864Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:19:28.719694Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:46:28.676257Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved13
  • parse uncertain2
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b29b641-859b-4a98-a0d5-8d2bf99f7031 · outbound

This paper cites Do not directly state the emotion or use immediate synonyms.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Do not directly state the emotion or use immediate synonyms

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:11:43.084965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3b605d44-fded-45c4-be83-12c3fd9dc463 · outbound

This paper cites an unresolved cited work.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:11:43.074437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ed441bd9-ebb4-4eaa-8c64-24f640d598fe · outbound

This paper cites Format your response as follows: Joy:.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Format your response as follows: Joy:

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:11:43.063433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a0b866db-a1c4-4d77-b002-8242eb92c05f · outbound

This paper cites Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T11:11:42.731430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:11:42.731430Z digest=sha256:5c1f6842ac0a326757b9cc005971b076387b54bb67940a4d5f2ab87f09a45222

Observation f13fe5af-d6d1-48b2-a750-e8acdb4c67bb · outbound

This paper cites technology.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models technology

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:11:43.094505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T11:11:42.749428Z digest=sha256:4611d56e08459734aeee3442f1a75a3a11d1eb19b966c36a323b5854eaff6a0d

Observation 1e71a438-b545-48fd-8569-283aa66d6b3d · outbound

This paper cites On the geometry of generalization and memorization in deep neural networks.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models On the geometry of generalization and memorization in deep neural networks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T11:11:42.744531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:11:42.744531Z digest=sha256:ccb3309f116c939365a0e6c0f4e8177ba05363e1da9dd0d84b1f33e03a8521f1

Observation 531b8e51-8a3c-4eff-86c0-76743e199cc4 · outbound

This paper cites an unresolved cited work.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Unresolved cited work

Reference 12

Resolution
parse uncertain
raw_fallback, observed 2026-08-08T11:11:43.052609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T11:11:42.764923Z digest=sha256:f95fd3aa65c645eb54ad89b19a880b3a165bda92c56e041e906cbc64dacde5a9

Observation ea108327-b917-4ae9-91b1-e0fe2bc12a55 · outbound

This paper cites an unresolved cited work.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Unresolved cited work

Reference 13

Resolution
parse uncertain
raw_fallback, observed 2026-08-08T11:11:43.041019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T11:11:42.769070Z digest=sha256:3574c978c498fa611896bf2e4b106000f7781d75cb5755193204fc98ed10f5dc

Observation 2248890e-2820-4c83-98a4-74809729ec36 · outbound

This paper cites Do not include any additional text or explanations outside of this format.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Do not include any additional text or explanations outside of this format

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:11:43.029364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0350272e-c364-424e-b442-fed99f011ea2 · outbound

This paper cites an unresolved cited work.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:11:43.017688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation bfc49926-59b2-4b87-8a7c-ae68603ce3d8 · outbound

This paper cites an unresolved cited work.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:11:43.006289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T11:11:42.780341Z digest=sha256:98cc38a62c7350ef369cf2dba5026aca35348b870be63880019fbeb12e77b970

Observation 27757a2a-5551-4bdf-951b-9bf6daf38f9a · outbound

This paper cites Sentence Embeddings To examine how task- specific prompts influence feature extraction and computation on intermediate tokens, we construct sentence embeddings as follows:.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Sentence Embeddings To examine how task- specific prompts influence feature extraction and computation on intermediate tokens, we construct sentence embeddings as follows:

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:11:42.994605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T11:11:42.783966Z digest=sha256:eaeea617e70b7fd411244a3af36b914a1d2d7d53fb725e559c996fa2d22142ae

Observation f7140e95-35a4-427c-a114-05f3ad621720 · outbound

This paper cites This ensures that the resulting embeddings for each sentence are of the same length across different prompting conditions.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models This ensures that the resulting embeddings for each sentence are of the same length across different prompting conditions

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:11:42.981819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T11:11:42.787787Z digest=sha256:fc549e5ff41395a2b8668a0f23d401c1f37b47e94c864e91af4553199d7ab957

Observation 5a8ef969-df8a-4882-9ebf-623c035b008c · outbound

This paper cites packaged.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models packaged

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:11:42.968206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T11:11:42.791502Z digest=sha256:4ffbc2045739cc78f7dba6d5da501a36a572bfc15acdcc46cb5fbdf790cb2117

Observation 32544c39-e784-48ff-bf84-af81f5416ff7 · outbound

This paper cites Category.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Category

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:11:42.956800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T11:11:42.795581Z digest=sha256:2030817ec0899ee5c79c8c9dddaef65e37e5891d8bad272a4c7eec8f58b79b69

Observation d675a747-d287-476f-afe1-68b23e354634 · outbound

This paper cites an unresolved cited work.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:11:42.945021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T11:11:42.799321Z digest=sha256:a964a1bca7fa19c550550de42a6a87a8c02cff3d78332b61e5ab85b3441f29cd

Observation e722177e-e224-46a0-809e-00b1abb28c15 · outbound

This paper cites an unresolved cited work.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:11:42.933611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation dcdd005e-98d3-4123-8213-ee3fb27dd72c · outbound

This paper cites an unresolved cited work.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:11:42.921899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3fb2268c-14d0-4d91-80cd-fa7923d25327 · outbound

This paper cites Generating Sentences from a Continuous Space.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Generating Sentences from a Continuous Space

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-08T11:11:42.722286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ec46621a-97b2-4e59-8885-39567abd895a · outbound

This paper cites What learning algorithm is in-context learning? Investigations with linear models.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models What learning algorithm is in-context learning? Investigations with linear models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-08T11:11:42.717033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:11:42.717033Z digest=sha256:7f4a94fcfc91ba12f0345a9d01da9efc5c40ba53ca854f18ace27b08b32d8a4a

Observation 56abbd70-119d-4048-9efd-e5fe1c467a5b · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-08T11:11:42.726812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:11:42.726812Z digest=sha256:8f185c4c6488e06903c0a0c39c4a28d0387c8fddf19f061512280e8751f2dc57

Observation ad12b911-8aa5-40ea-a566-a77b94d37fe0 · outbound

This paper cites What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-08T11:11:42.735702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:11:42.735702Z digest=sha256:ccd2e749665266a9bcd0f04b4ca180ebec722179c2cf07e6eae5e1c36214a500

Observation cd592048-c35e-4fa9-94de-9e5a569428c2 · outbound

This paper cites The Linear Representation Hypothesis and the Geometry of Large Language Models.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models The Linear Representation Hypothesis and the Geometry of Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-08T11:11:42.739997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:11:42.739997Z digest=sha256:2126df8b2eba526456778f14d4b0c3c60415d44311bac48cb15ba0c29c46be5a

Pith citing papers

Observation f167a025-99cb-4fa0-a556-ae63f5446070 · inbound

What's in a prompt? Language models encode literary style in prompt embeddings cites this paper.

What's in a prompt? Language models encode literary style in prompt embeddings The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T20:19:28.719694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:19:28.719694Z digest=sha256:3161c7f72a096c6190c7d6b5e2d9f87123fe66dd01262c65bfd5d0eb28141fb4

Observation 73785e92-6562-488a-a9fa-166bc26ea8e6 · inbound

Emergent Manifold Separability during Reasoning in Large Language Models cites this paper.

Emergent Manifold Separability during Reasoning in Large Language Models The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:16:35.056430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 288f3cd7-8ee8-4ad4-b926-13955111382d · inbound

Decomposing how prompting steers behavior cites this paper.

Decomposing how prompting steers behavior The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:46:28.679006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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