Paper Citation Record · LEDGER

Orthogonal Subspace Learning for Language Model Continual Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2310.14152.

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

pith.paper-citation-record.v1
2310.14152 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 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 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:04:38.311806Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:39:45.245899Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ce84195a-8734-4e27-b383-abb4f53c4e52 · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Orthogonal Subspace Learning for Language Model Continual Learning

Reference 175

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:32:36.898071Z

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.

Observation 8140c5e0-9338-42e6-a889-de9daa331b34 · inbound

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression cites this paper.

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression Orthogonal Subspace Learning for Language Model Continual Learning

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-24T00:13:39.417598Z

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.

Observation c6f60a0f-f882-4d1f-811f-8fd2b7faf5d2 · inbound

Multi LoRA Meets Vision: Merging multiple adapters to create a multi task model cites this paper.

Multi LoRA Meets Vision: Merging multiple adapters to create a multi task model Orthogonal Subspace Learning for Language Model Continual Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T15:37:00.380890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2346e32-efe7-4a97-b37e-16f1d86260b9 · inbound

Multi-Task Model Merging via Adaptive Weight Disentanglement cites this paper.

Multi-Task Model Merging via Adaptive Weight Disentanglement Orthogonal Subspace Learning for Language Model Continual Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T11:05:15.712044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05db4331-d828-4334-86bc-0a6b141d219b · inbound

DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning cites this paper.

DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning Orthogonal Subspace Learning for Language Model Continual Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T10:31:51.155214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d89b4dfb-79a1-4256-9720-492f75637767 · inbound

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification cites this paper.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Orthogonal Subspace Learning for Language Model Continual Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T14:45:16.539449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0078cd8b-7021-4145-9480-6d79ad5e259a · inbound

Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector cites this paper.

Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector Orthogonal Subspace Learning for Language Model Continual Learning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T18:59:24.943184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 818587e8-a6ee-4afe-bab7-94fbe7fdbc70 · inbound

Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces cites this paper.

Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces Orthogonal Subspace Learning for Language Model Continual Learning

Reference 197

Resolution: unresolved; no resolver link, observed 2026-08-16T05:04:38.311806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 388ca52e-1539-4905-a466-471a344abef3 · inbound

SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting cites this paper.

SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting Orthogonal Subspace Learning for Language Model Continual Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:15:58.168014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7194ccc-643e-44e0-9dfc-e8799e911ec4 · inbound

One Rank at a Time: Cascading Error Dynamics in Sequential Learning cites this paper.

One Rank at a Time: Cascading Error Dynamics in Sequential Learning Orthogonal Subspace Learning for Language Model Continual Learning

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:38.267940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be0fdceb-f297-40b9-b673-a6c7ca9d22d9 · inbound

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts cites this paper.

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts Orthogonal Subspace Learning for Language Model Continual Learning

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:06:34.445555Z

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.

Observation c01e31c8-f831-484e-b015-140c6b83729b · inbound

RegCL: Continual Adaptation of Segment Anything Model via Model Merging cites this paper.

RegCL: Continual Adaptation of Segment Anything Model via Model Merging Orthogonal Subspace Learning for Language Model Continual Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T16:56:46.619730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c51b811b-ab56-467c-b5d6-e443cd2af3ba · inbound

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation cites this paper.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Orthogonal Subspace Learning for Language Model Continual Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T17:57:21.662479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 287f50f3-ae5e-4c3a-8b47-90b46e206ea2 · inbound

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting cites this paper.

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting Orthogonal Subspace Learning for Language Model Continual Learning

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:44:26.911953Z

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.

Observation 752eae3c-3ce1-4578-a6c9-1c3ff383d80e · inbound

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting cites this paper.

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting Orthogonal Subspace Learning for Language Model Continual Learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T00:51:54.053142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f8917cb-77d7-4f78-95b2-b74ab483fab2 · inbound

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay cites this paper.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Orthogonal Subspace Learning for Language Model Continual Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:26.646447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e5cafe-d572-4ed8-bd29-efaf0801fd02 · inbound

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection cites this paper.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Orthogonal Subspace Learning for Language Model Continual Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T17:56:10.365417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24765ecd-c4f0-4a2e-bf44-d4b32c18377a · inbound

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Orthogonal Subspace Learning for Language Model Continual Learning

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-05T10:34:46.773063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b788bf1d-00c3-4d12-8dca-62deff99d372 · inbound

Forget What's Sensitive, Remember What Matters: Token-Level Differential Privacy in Memory Sculpting for Continual Learning cites this paper.

Forget What's Sensitive, Remember What Matters: Token-Level Differential Privacy in Memory Sculpting for Continual Learning Orthogonal Subspace Learning for Language Model Continual Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:30:31.713352Z

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.

Observation f74f4753-d901-48f0-896d-a44e03a02f9a · inbound

Compress Then Adapt? No, Do It Together via Task-aware Union of Subspaces cites this paper.

Compress Then Adapt? No, Do It Together via Task-aware Union of Subspaces Orthogonal Subspace Learning for Language Model Continual Learning

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:45:40.957931Z

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.

Observation 196d909d-e712-4ceb-9fba-c7529fb09d43 · inbound

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning cites this paper.

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning Orthogonal Subspace Learning for Language Model Continual Learning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:16:16.376582Z

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.

Observation b9078eb6-ff37-4b0d-a39c-9e69a901b2c2 · inbound

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning cites this paper.

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning Orthogonal Subspace Learning for Language Model Continual Learning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-19T15:12:37.505041Z

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.

Observation d9a3de84-dfeb-4dc2-84a5-016bb9473476 · inbound

Rotation-Preserving Supervised Fine-Tuning cites this paper.

Rotation-Preserving Supervised Fine-Tuning Orthogonal Subspace Learning for Language Model Continual Learning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:27:24.441512Z

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.

Observation 05eae8f6-5b2c-445c-9f50-6ec399242a1c · inbound

TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale cites this paper.

TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale Orthogonal Subspace Learning for Language Model Continual Learning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:07:41.641639Z

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.

Observation 59cfc4c5-eb44-4905-bd76-0675cd4a8479 · inbound

CP-MoE: Consistency-Preserving Mixture-of-Experts for Continual Learning cites this paper.

CP-MoE: Consistency-Preserving Mixture-of-Experts for Continual Learning Orthogonal Subspace Learning for Language Model Continual Learning

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T08:39:53.481088Z

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.

Observation 06306bbe-a9bf-4f09-87f0-17e358ad7fd4 · inbound

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting cites this paper.

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting Orthogonal Subspace Learning for Language Model Continual Learning

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:43:14.056320Z

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.

Observation 82802e77-1b82-4a7e-8dda-8693d2e63acc · inbound

CADRE: Stable, Parameter Efficient Adaptation of Medical Vision Language Models with Bounded Forgetting and Prior Drift cites this paper.

CADRE: Stable, Parameter Efficient Adaptation of Medical Vision Language Models with Bounded Forgetting and Prior Drift Orthogonal Subspace Learning for Language Model Continual Learning

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:39:45.247616Z

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.

Observation 699ab35a-c804-44f7-b2e4-379111f3245b · inbound

Hidden Forgetting in Continual Multimodal Learning: When Accuracy Survives but Grounding Fails cites this paper.

Hidden Forgetting in Continual Multimodal Learning: When Accuracy Survives but Grounding Fails Orthogonal Subspace Learning for Language Model Continual Learning

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:48:20.581282Z

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.

Observation cbbee1d2-b58b-4714-9b1e-5a4b1475fe50 · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Orthogonal Subspace Learning for Language Model Continual Learning

Reference 222

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:03.786588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9547ca5-c2ba-4b9d-a412-a54a7e0605c7 · inbound

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection cites this paper.

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection Orthogonal Subspace Learning for Language Model Continual Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T18:23:31.112374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed66c1cf-0541-4d8f-a9c0-f03302a03cbd · inbound

In-Context Collapse in Vision-Language Models and How to Mitigate it? cites this paper.

In-Context Collapse in Vision-Language Models and How to Mitigate it? Orthogonal Subspace Learning for Language Model Continual Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T15:05:19.388456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.