Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 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 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:39:58.885284Z

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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.

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 2026-08-08T06:32:00.761636+00:00.

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.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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.

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.

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.

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.

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.

Pith citing papers

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.