Pith. sign in

Paper Citation Record · LEDGER

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers

As of 14 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2412.00029.

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

pith.paper-citation-record.v1
2412.00029 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:37:13.133120Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4dfe7392-4c4f-4440-8190-4cf9cad4a226 · outbound

This paper cites Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T17:37:13.038657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:37:13.038657Z digest=sha256:39ebdf4605095d92a6572479c41e4db84fbba656998c68f069a37f60ba93ad6d

Observation b603b766-1b86-41f7-990f-f439f55ed1c4 · outbound

This paper cites The pitfalls of next-token prediction.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers The pitfalls of next-token prediction

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T17:37:13.051058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:37:13.051058Z digest=sha256:03fe672efd5a14ee6b5ab1e37433e14ac360afe8470437410a116ec0a88b80b2

Observation bc05d85c-87e9-43ec-9d4d-d8dc63233340 · outbound

This paper cites LoRA Learns Less and Forgets Less.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers LoRA Learns Less and Forgets Less

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T17:37:13.056300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:37:13.056300Z digest=sha256:d1f7481139d7dacb7d7c12eb4990727c50c56e0b1a8b8f869ced2bb75ae45fea

Observation 5e7e02aa-080a-4fef-9ea3-dc19358ddf25 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers Training Verifiers to Solve Math Word Problems

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T17:37:13.061080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:37:13.061080Z digest=sha256:fb4e1003344034ba4d4e72712a0406b77be59c9539db82a52aafe98d852263cb

Observation 12b04ac9-bf12-473b-8b1f-494ab84b1f3b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T17:37:13.066899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:37:13.066899Z digest=sha256:fde90107931c15bf8f075d078168866f108c6e03f77aaaed012bde06cb0aee50

Observation 2d31c8cb-4f29-47d0-bf32-dcbecc0ed953 · outbound

This paper cites an unresolved cited work.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:37:13.488622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:37:13.072196Z digest=sha256:003899036226030fb7315db1d662dafda58774171ee940c146d0e7546cf8a355

Observation 1726a73c-1f23-49b6-9e3f-1796d32ee0ed · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T17:37:13.081736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:37:13.081736Z digest=sha256:8cbff40d3f4b66f989a7c3ab81ff13c9a2f3602d72def615897900a738bb81b2

Observation 4517a93b-4424-4a20-842a-815f1485c9d0 · outbound

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

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T17:37:13.085869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:37:13.085869Z digest=sha256:1a82f0b7be4ec40c137ce190ca0ba34ddc2612ef3ba54cd629e31db204a656bb

Observation 9e3e4810-1e9d-494a-9db6-b339a39cc21c · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers Textbooks Are All You Need II: phi-1.5 technical report

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T17:37:13.090152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:37:13.090152Z digest=sha256:f3cf1e66d3cccbc55618f74c98de489c70efa327950ab4b67b7d67d156fcc2e1

Observation 7d5a7532-3fcf-4c4e-b3a0-1be9a0d48c3f · outbound

This paper cites HashHop: Long Context Evaluation, 2024.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers HashHop: Long Context Evaluation, 2024

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:37:13.473227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:37:13.094437Z digest=sha256:3cab075ea9df9c4207026fba653ea1952c1e9d023c264a84f0c2d099b1c1bac8

Observation c4ab6a36-7cef-4164-b324-1a70f4dfb949 · outbound

This paper cites Language Models are Unsupervised Multitask Learners.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers Language Models are Unsupervised Multitask Learners

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:37:13.458307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:37:13.098683Z digest=sha256:0b347ec3d75782a354da435a4945d0992cee6fdda920a1a382983de193e358b3

Observation 1675f53e-e596-43e0-9361-3b6dbfef5013 · outbound

This paper cites The effective rank: A measure of effective dimensionality.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers The effective rank: A measure of effective dimensionality

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:37:13.439810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:37:13.102702Z digest=sha256:16b40567743d0684e77203782ee2f102b37bd1d19fd443fc7be28e34ee3931d2

Observation f2c47aff-6ac2-4c02-b100-9ade80244d43 · outbound

This paper cites Continual Learning of Large Language Models: A Comprehensive Survey, June.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers Continual Learning of Large Language Models: A Comprehensive Survey, June

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:37:13.417423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:37:13.106620Z digest=sha256:3b8bb895b155ef2790ae2faba89f800e20af483b63e46ed87fa5cd5961f9da98

Observation 023e5d42-90c9-4f2f-af2c-10bf48f9dea0 · outbound

This paper cites FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-12T17:37:13.246059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:37:13.115555Z digest=sha256:feaeae15e42273d0d982d60aa502997b18f817c0f6e0724e381d2d9497318525

Observation 7cf2f62d-36df-47fc-bf25-243329eef74d · outbound

This paper cites Continual Learning of Large Language Models: A Comprehensive Survey.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers Continual Learning of Large Language Models: A Comprehensive Survey

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T17:37:13.110730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:37:13.110730Z digest=sha256:2f3732a6991b5b2567abdf930f9f18143dcbb8ea794aee18c4a9128b90a0ff9d

Observation 77d3875c-0e56-4716-935a-e5d509fac53a · outbound

This paper cites Batched Low-Rank Adaptation of Foundation Models.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers Batched Low-Rank Adaptation of Foundation Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T17:37:13.125205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:37:13.125205Z digest=sha256:68b189b37b4f6344d90ec28fa4f20ec8c969b843bc6d6dfa84d9a17c6903bc28

Observation 903710b6-f592-424e-806a-9e58992d768a · outbound

This paper cites Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T17:37:13.120746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:37:13.120746Z digest=sha256:90583fb7b5671eedde71d06082b760eb3ee6801db7a34c4690adc5ed876bcbdb

Observation 3c80abb0-db87-4f5e-b303-8f377e29a449 · outbound

This paper cites Continual Learning with Low Rank Adaptation.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers Continual Learning with Low Rank Adaptation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T17:37:13.133120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:37:13.133120Z digest=sha256:c66686498e20756b0f8a811e6a010c1d8c99d6d947e9c53382586b1245667390

Observation 973c2bfd-6ec2-4ff1-9dc1-1cf1c6e73fc6 · outbound

This paper cites Higher Layers Need More LoRA Experts.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers Higher Layers Need More LoRA Experts

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-12T17:37:13.076797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:37:13.076797Z digest=sha256:a097ca36cb23f079ada3da45433fcdd6ea7bb78c503397a7dde86ae6f621faa9

Pith citing papers

No inbound Pith citation observations are available.