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Paper Citation Record · LEDGER

Task-driven Layerwise Additive Activation Intervention

As of 20 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2502.06115.

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

pith.paper-citation-record.v1
2502.06115 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:46:58.512718Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

24 of 24 outbound references displayed

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  • verified fuzzy6
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 95fd2444-e658-4e1f-843e-cf17512e3a91 · outbound

This paper cites In Findings of the Association for Computational Linguistics: ACL 2023, pages 4005–4019.

Task-driven Layerwise Additive Activation Intervention In Findings of the Association for Computational Linguistics: ACL 2023, pages 4005–4019

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-08T16:46:58.889189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 2638f233-e2cf-42eb-9395-8a31e087948b · outbound

This paper cites The Llama 3 Herd of Models.

Task-driven Layerwise Additive Activation Intervention The Llama 3 Herd of Models

Reference 5

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Observation 1a8fcdbe-5632-4536-be26-e7687e9b28ed · outbound

This paper cites Inspecting and Editing Knowledge Representations in Language Models.

Task-driven Layerwise Additive Activation Intervention Inspecting and Editing Knowledge Representations in Language Models

Reference 6

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Source-reported events for the cited work

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Observation 5c5bb342-c0c3-4de1-a317-c98748b2057f · outbound

This paper cites In Proceedings of the 2024 International Conference on Learning Representations.

Task-driven Layerwise Additive Activation Intervention In Proceedings of the 2024 International Conference on Learning Representations

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 540edb16-0b8f-4b32-b199-80047a3f808e · outbound

This paper cites Mistral 7B.

Task-driven Layerwise Additive Activation Intervention Mistral 7B

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d91bee07-a7fc-4e40-9094-0a13c3f41f26 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Task-driven Layerwise Additive Activation Intervention The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 11

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Source-reported events for the cited work

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Observation 1fdc9b0e-ce03-4ee8-9131-5af2b5af733c · outbound

This paper cites In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering.

Task-driven Layerwise Additive Activation Intervention In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering

Reference 13

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Observation cc8c25bf-7667-4986-a40d-f75f56e2bb85 · outbound

This paper cites arXiv preprint arXiv:2501.15758.

Task-driven Layerwise Additive Activation Intervention arXiv preprint arXiv:2501.15758

Reference 14

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T16:46:58.472940Z digest=sha256:787e3745d566f704e4b8fcba852cd6606b37d6d0d3241d2e14ed438f254309f0

Observation 33f18983-fa10-409c-a6b2-e82eccabe515 · outbound

This paper cites In Extended Abstracts of the 2021 CHI Conference on Human Factors in Comput- ing Systems, pages 1–7.

Task-driven Layerwise Additive Activation Intervention In Extended Abstracts of the 2021 CHI Conference on Human Factors in Comput- ing Systems, pages 1–7

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:46:58.856878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T16:46:58.476586Z digest=sha256:3f16270a7df57a8edab1d28950cdb2bc7409e0c0986879a38c8f964c6d1f9e7b

Observation 2f1be582-ecb8-4ea3-8ee6-6eee1e422de9 · outbound

This paper cites How do Transformers perform In-Context Autoregressive Learning?.

Task-driven Layerwise Additive Activation Intervention How do Transformers perform In-Context Autoregressive Learning?

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bf016dbe-7264-4835-98f9-511b842736fb · outbound

This paper cites Whose Opinions Do Language Models Reflect?.

Task-driven Layerwise Additive Activation Intervention Whose Opinions Do Language Models Reflect?

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7c959b8a-0722-484a-b30c-ef1f2e56630b · outbound

This paper cites Extracting Latent Steering Vectors from Pretrained Language Models.

Task-driven Layerwise Additive Activation Intervention Extracting Latent Steering Vectors from Pretrained Language Models

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:46:58.489805Z digest=sha256:e930fbf26386007e20226aa6fb38ed85b72cb6da8e331961cbaf4775f49d1520

Observation a831731d-dc79-449f-b280-288fb504611e · outbound

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

Task-driven Layerwise Additive Activation Intervention Gemma 2: Improving Open Language Models at a Practical Size

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 83fc3606-89a3-4f3f-b2be-db12617da1a1 · outbound

This paper cites Function Vectors in Large Language Models.

Task-driven Layerwise Additive Activation Intervention Function Vectors in Large Language Models

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cecace4a-46df-4e8c-919f-c98639bcf29f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Task-driven Layerwise Additive Activation Intervention LLaMA: Open and Efficient Foundation Language Models

Reference 21

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Observation d2006a3a-dd1a-4a09-ac98-56d814b45d98 · outbound

This paper cites Steering Language Models With Activation Engineering.

Task-driven Layerwise Additive Activation Intervention Steering Language Models With Activation Engineering

Reference 22

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source=pdf_text observed=2026-08-08T16:46:58.505885Z digest=sha256:c9b18566d72dc88cf2735489573ade55d320e8f0d1dbf43f792919a5553e44fc

Observation 9863eaf5-7bbf-4731-bc70-20f77a36d987 · outbound

This paper cites In 2022 Conference on Empirical Methods in Natural Lan- guage Processing, EMNLP 2022, pages 2422–2437.

Task-driven Layerwise Additive Activation Intervention In 2022 Conference on Empirical Methods in Natural Lan- guage Processing, EMNLP 2022, pages 2422–2437

Reference 23

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raw_fallback, observed 2026-08-08T16:46:58.846414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T16:46:58.509370Z digest=sha256:356f61dc04c4d55f1a7a143a53b61ac8990f85dcdae5d907bafc6418412f0921

Observation ac8525f9-df10-409c-a4e9-1adee3072190 · outbound

This paper cites Group Preference Optimization: Few-Shot Alignment of Large Language Models.

Task-driven Layerwise Additive Activation Intervention Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fb02f76a-41de-45df-8169-2d5d4f98a84f · outbound

This paper cites Advances in Neural Information Processing Systems, 33:1877–1901.

Task-driven Layerwise Additive Activation Intervention Advances in Neural Information Processing Systems, 33:1877–1901

Reference 2020

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verified fuzzy
raw_fallback, observed 2026-08-08T16:46:58.900590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7464461f-d3cc-4127-a6b7-28eab08f1a31 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Task-driven Layerwise Additive Activation Intervention LoRA: Low-Rank Adaptation of Large Language Models

Reference 2021

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3b036c52-736a-4334-8860-31c6722c0cd7 · outbound

This paper cites Ad- vances in Neural Information Processing Systems , 35:1950–1965.

Task-driven Layerwise Additive Activation Intervention Ad- vances in Neural Information Processing Systems , 35:1950–1965

Reference 2022

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verified fuzzy
raw_fallback, observed 2026-08-08T16:46:58.867659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T16:46:58.465538Z digest=sha256:60a8e3f0923195548062432887ff7ef416766f5e4d2679860e304a3c50da2a3c

Observation 3ef182fc-ee0e-4981-9f7c-a6f75ee00071 · outbound

This paper cites GPT-4 Technical Report.

Task-driven Layerwise Additive Activation Intervention GPT-4 Technical Report

Reference 2023

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:46:58.425496Z digest=sha256:52f7e1766d1547c2c9267e8a3ff9c50e61fdc4668082e6d7ad748a9b6d890473

Observation a9d70fd6-a1cd-40c2-9bcc-ea328a829d7d · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Task-driven Layerwise Additive Activation Intervention Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:46:58.419993Z digest=sha256:8f709b878b5d418787d5b544bdf8bfa0ba3cd29c161dec61c5aff81e13395074

Observation 51921ba8-2355-48cb-b63a-9894699ed48f · outbound

This paper cites Probe-Free Low-Rank Activation Intervention.

Task-driven Layerwise Additive Activation Intervention Probe-Free Low-Rank Activation Intervention

Reference 2025

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.