Pith. sign in

Paper Citation Record · LEDGER

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment

As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.28669.

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

pith.paper-citation-record.v1
2607.28669 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:49:11.484463Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ca92c25a-981c-4f55-a787-5b5788769155 · outbound

This paper cites Parallel Manifold Steering: Efficient Adaptation of Large Associative Memories via Residual Energy Shaping.

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment Parallel Manifold Steering: Efficient Adaptation of Large Associative Memories via Residual Energy Shaping

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:09.668362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:09.668362Z digest=sha256:55d98b086961fc064fef09693b7761b8895af3d57048be394a7dd1fbd28c139b

Observation f7fc089b-5117-4270-a3b5-0e0945c3a0ae · outbound

This paper cites BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models.

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:09.775746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:09.775746Z digest=sha256:8f5cc8282b8edbeadfb8380b2bd6a24daac30f4c52776c658ce0771497048eea

Observation 37191e02-0d01-45c7-af6d-12224634ab63 · outbound

This paper cites A Mathematical Frame- work for Transformer Circuits.Transformer Circuits Thread, 2021.https:// transformer-circuits.pub/2021/framework/index.html.

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment A Mathematical Frame- work for Transformer Circuits.Transformer Circuits Thread, 2021.https:// transformer-circuits.pub/2021/framework/index.html

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:09.928200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:09.928200Z digest=sha256:6725736457338cd0aa4799a1f5e7c742427ff2458d57eddf9858fab0281457a9

Observation 0c53a0c7-eb27-4c7a-8fc6-be767a473499 · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP.

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment Parameter-Efficient Transfer Learning for NLP

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:10.039888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:10.039888Z digest=sha256:531078bd6ccc0688e08dae8eaf6b6bd60a95aa03de938ed1285c0bb562582fdd

Observation 51bc4e80-18ab-4a77-8579-618caacd410c · outbound

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

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment LoRA: Low-Rank Adaptation of Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:10.146342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:10.146342Z digest=sha256:4aa748cee0893714e4b9733ec75b37a10d27b7076da244b946a8670e44148fc4

Observation d03eb20c-3fea-4629-b3c7-47255db72139 · outbound

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

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:10.300160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:10.300160Z digest=sha256:e3aac2f3178aafad6a8786342de661ee11de53a505c2a70acc4f590b3c471028

Observation 3a7ac19d-ecb5-4730-bdcf-c75d7f4de15f · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:10.466279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:10.466279Z digest=sha256:67b2236e833a24fdc134e2fa197181b55e0e533d60c16555edda3382960c925b

Observation b97e5972-d4b9-4283-8c72-3f256778053e · outbound

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

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:10.632805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:10.632805Z digest=sha256:6b3e4cf82ecc20571e690f9834cdd20a4d8498f852e9b2f5006ae5acffc0e58b

Observation 12bf32a5-ba26-411c-a24a-ebc2b7d3f13f · outbound

This paper cites AdapterFusion: Non-Destructive Task Composition for Transfer Learning.

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:10.786634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:10.786634Z digest=sha256:d148b743755557f2cc7ec385c0e934d36f3c5af148d6e79c46495acad7ea5615

Observation 26ccd02f-7da9-439b-b85d-1962414b53a5 · outbound

This paper cites Learning multiple visual domains with residual adapters.

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment Learning multiple visual domains with residual adapters

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:10.955635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:10.955635Z digest=sha256:f502f40130c5ffe231f65a2ec6489b8a1f20bb8c6133c4b18c37e7432ecc8a6a

Observation 61672f3f-3f15-48d6-b894-bab79ceaaff6 · outbound

This paper cites S-LoRA: Serving Thousands of Concurrent LoRA Adapters.

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:11.071790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:11.071790Z digest=sha256:86e1fff80a9f91294be8118aee207d112e0cf419c6231d8df84b0276d7de0592

Observation c89aca71-2f04-4d96-bb18-03d225e50678 · outbound

This paper cites LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning.

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:11.293660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:11.293660Z digest=sha256:72b6d70f9012f40f727833ed7a691726ff8834bffeb7412a3974500fbd1a1f19

Observation aa73337b-9e32-409f-baa3-1a61487fd40b · outbound

This paper cites Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks.

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:11.399918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:11.399918Z digest=sha256:1d23dbaa679a604dadf7dc68c48195d3605d390fc78fe65f2d1109b187047bb2

Observation 507daed3-bed8-4a87-b602-3f513b4099f7 · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:11.484463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:11.484463Z digest=sha256:52c07e33ec8565853b512d4376c0e22709c27892f7f0fd1caa0366ef6a79a0bd

Pith citing papers

No inbound Pith citation observations are available.